Dissertations / Theses on the topic 'Near-infrared Image'
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Font, Aragonès Xavier. "Visible, near infrared and thermal hand-based image biometric recognition." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/117685.
Full textEl Reconeixement Biomètric fa referència a la identi cació automàtica de persones fent us d'alguna característica o modalitat anatòmica (empremta digital) o d'alguna característica de comportament (signatura). És un aspecte fonamental en qualsevol procés relacionat amb la seguretat, la compartició de recursos o les transaccions electròniques entre d'altres. És converteix en un pas imprescindible abans de concedir l'autorització. Aquesta autorització, s'entén que protegeix recursos clau, permeten així, que aquests siguin utilitzats pels usuaris que han estat autoritzats a utilitzar-los o a tenir-hi accés. Els sistemes biomètrics poden funcionar en veri cació, on es resol la pregunta: Soc jo qui dic que soc? O en identi cació on es resol la qüestió: Qui soc jo? La comunitat cientí ca ha incrementat els seus esforços per millorar el rendiment dels sistemes biomètrics. En funció de l'aplicació, diverses solucions s'adrecen a treballar amb múltiples modalitats o combinant diferents mètodes de classi cació. Donat que incrementar el número de modalitats, representa a la vegada problemes pels usuaris, moltes d'aquestes aproximacions no arriben mai al mercat. La tesis contribueix principalment en tres grans àrees, totes elles amb el denominador comú següent: Reconeixement biometric a través de les mans. i) La primera d'elles constitueix la base de qualsevol estudi, les dades. Per poder interpretar, i establir un sistema de reconeixement biomètric prou robust amb un clar enfocament a múltiples fonts d'informació, però amb el mínim esforç per part de l'usuari es construeix aquesta Base de Dades de mans multi espectral. Les bases de dades biomètriques constitueixen un recurs molt preuat per a la recerca; sobretot si ofereixen algun element nou com es el cas. Imatges de mans en diferents espectres electromagnètics: en visible (VIS), en infraroig (NIR) i en tèrmic (TIR). Amb un total de 100 usuaris, i 10 mostres per usuari, constitueix un bon punt de partida per estudiar i posar a prova sistemes multi biomètrics enfocats a les mans. ii) El segon bloc s'adreça a les dues aproximacions existents en la literatura per a tractar les dades en brut. Aquestes dues aproximacions, anomenades Holística (tracta la imatge com un tot) i Geomètrica (utilitza càlculs geomètrics) de neixen el focus alhora d'extreure el vector de característiques. Abans de tractar alguna d'aquestes dues aproximacions, però, és necessària l'aplicació de diferents tècniques de preprocessat digital de la imatge per obtenir les regions d'interès desitjades. Diferents problemes presents a les imatges s'han hagut de solucionar de forma original per a cadascuna de les tipologies de les imatges presents: VIS, NIR i TIR. VIS: imatges sobre exposades, anells, mànigues, braçalets. NIR: Ungles pintades, distorsió en forma de soroll en les imatges TIR: Dits freds La segona àrea presenta aspectes innovadors, ja que a part de segmentar la imatge de la ma, es segmenten tots i cadascun dels dits (feature-based approach). Així aconseguim contrastar la seva capacitat de reconeixement envers la ma de forma completa. Addicionalment es presenta un conjunt de procediments geomètrics amb la idea de comparar-los amb els provinents de l'extracció holística. La tercera i última àrea contrasta el procediment de classi cació anomenat Biometric Dispersion Matcher (BDM) amb diferents situacions. La primera relacionada amb l'efectivitat respecte d'altres mètode de reconeixement, com ara l'Anàlisi Lineal Discriminant (LDA) o bé mètodes com KNN o la regressió logística. Les altres situacions que s'analitzen tenen a veure amb múltiples fonts d'informació, quan s'apliquen tècniques de normalització i/o estratègies de combinació (fusió) per millorar els resultats. Els resultats obtinguts no deixen lloc per a la confusió, i són certament prometedors en el sentit que posen a la llum la importància de combinar informació complementària per obtenir rendiments superiors.
Karlsson, Jonas. "FPGA-Accelerated Dehazing by Visible and Near-infrared Image Fusion." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28322.
Full textClarke, Fiona Catherine. "Near-infrared microscopy and image analysis for pharmaceutical process control." Thesis, University College London (University of London), 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.432883.
Full textFlowerdew, Roland John. "Atmospheric correction for the visible and near-infrared channels of ATSR-2." Thesis, Imperial College London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283392.
Full textTouse, Michael P. "Demonstration of a near and mid-infrared detector using multiple step quantum wells." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FTouse.pdf.
Full textCarson, Kathryn Jane. "Contributions towards image reconstruction for functional imaging using time-resolved near-infrared measurements." Thesis, Keele University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240034.
Full textWong, Gerald. "Snapshot hyperspectral imaging : near-infrared image replicating imaging spectrometer and achromatisation of Wollaston prisms." Thesis, Heriot-Watt University, 2012. http://hdl.handle.net/10399/2615.
Full textTeresi, Michael Bryan. "Multispectral Image Labeling for Unmanned Ground Vehicle Environments." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/53998.
Full textMaster of Science
Khalaf, Reem. "Image reconstruction for optical tomography using photon density waves." Thesis, University of Hertfordshire, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302304.
Full textEdjlali, Ehsan. "Fluorescence diffuse optical tomographic iterative image reconstruction for small animal molecular imaging with continuous-wave near infrared light." Thèse, Université de Sherbrooke, 2017. http://hdl.handle.net/11143/10673.
Full textAbstract : The simplified spherical harmonics (SPN) approximation to the radiative transfer equation has been proposed as a reliable model of light propagation in biological tissues. However, few analytical solutions have been found for this model. Such analytical solutions are of great value to validate numerical solutions of the SPN equations, which must be resorted to when dealing with media with complex curved geometries. In the first part of this thesis, analytical solutions for two curved geometries are presented for the first time, namely for the sphere and for the cylinder. For both solutions, the general refractiveindex mismatch boundary conditions, as applicable in biomedical optics, are resorted to. These solutions are validated using mesh-based Monte Carlo simulations. So validated, these solutions allow in turn to rapidly validate numerical code, based for example on finite differences or on finite elements, without requiring lengthy Monte Carlo simulations. provide reliable tool for validating numerical simulations. In the second part, iterative reconstruction for fluorescence diffuse optical tomography imaging is proposed based on an Lq-Lp framework for formulating an objective function and its regularization term. To solve the imaging inverse problem, the discretization of the light propagation model is performed using the finite difference method. The framework is used along with a multigrid mesh on a digital mouse model. The inverse problem is solved iteratively using an optimization method. For this, the gradient of the cost function with respect to the fluorescent agent’s concentration map is necessary. This is calculated using an adjoint method. Quantitative metrics resorted to in medical imaging are used to evaluate the performance of the framework under different conditions. The results obtained support this new approach based on an Lq-Lp formulation of cost functions in order to solve the inverse fluorescence problem with high quantified performance.
Williams, Paul James. "Near infrared (NIR) hyperspectral imaging for evaluation of whole maize kernels: chemometrics for exploration and classification." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/1696.
Full textThe use of near infrared (NIR) hyperspectral imaging and hyperspectral image analysis for distinguishing between whole maize kernels of varying degrees of hardness and fungal infected and non-infected kernels have been investigated. Near infrared hyperspectral images of whole maize kernels of varying degrees of hardness were acquired using a Spectral Dimensions MatrixNIR camera with a spectral range of 960-1662 nm as well as a sisuChema SWIR (short wave infrared) hyperspectral pushbroom imaging system with a spectral range of 1000-2498 nm. Exploratory principal component analysis (PCA) on absorbance images was used to remove background, bad pixels and shading. On the cleaned images, PCA could be used effectively to find histological classes including glassy (hard) and floury (soft) endosperm. PCA illustrated a distinct difference between floury and glassy endosperm along principal component (PC) three. Interpreting the PC loading line plots important absorbance peaks responsible for the variation were 1215, 1395 and 1450 nm, associated with starch and moisture for both MatrixNIR images (12 and 24 kernels). The loading line plots for the sisuChema (24 kernels) illustrated peaks of importance at the aforementioned wavelengths as well as 1695, 1900 and 1940 nm, also associated with starch and moisture. Partial least squares-discriminant analysis (PLS-DA) was applied as a means to predict whether the different endosperm types observed, were glassy or floury. For the MatrixNIR image (12 kernels), the PLS-DA model exhibited a classification rate of up to 99% for the discrimination of both floury and glassy endosperm. The PLS-DA model for the second MatrixNIR image (24 kernels) yielded a classification rate of 82% for the discrimination of glassy and 73% for floury endosperm. The sisuChema image (24 kernels) yielded a classification rate of 95% for the discrimination of floury and 92% for glassy endosperm. The fungal infected and sound whole maize kernels were imaged using the same instruments. Background, bad pixels and shading were removed by applying PCA on absorbance images. On the cleaned images, PCA could be used effectively to find the infected regions, pedicle as well as non-infected regions. A distinct difference between infected and sound kernels was illustrated along PC1. Interpreting the PC loading line plots showed important absorbance peaks responsible for the variation and predominantly associated with starch and moisture: 1215, 1450, 1480, 1690, 1940 and 2136 nm for both MatrixNIR images (15 and 21 kernels). The MatrixNIR image (15 kernels) exhibited a PLS-DA classification rate of up to 96.1% for the discrimination of infected kernels and the sisuChema had a classification rate of 99% for the same region of interest. The The iv sisuChema image (21-kernels) had a classification rate for infected kernels of 97.6% without pre-processing, 97.7% with multiplicative scatter correction (MSC) and 97.4% with standard normal variate (SNV). Near infrared hyperspectral imaging is a promising technique, capable of distinguishing between maize kernels of varying hardness and between fungal infected and sound kernels. While there are still limitations with hardware and software, these results provide the platform which would greatly assist with the determination of maize kernel hardness in breeding programmes without having to destroy the kernel. Further, NIR hyperspectral imaging could serve as an objective, rapid tool for identification of fungal infected kernels.
Chen, Yu. "A Highly Efficient Biometrics Approach for Unconstrained Iris Segmentation and Recognition." FIU Digital Commons, 2010. http://digitalcommons.fiu.edu/etd/310.
Full textBRITO, Lívia Rodrigues e. "Determinação de aditivos detergentes dispersantes em gasolinautilizando a técnica do ring-oven e imagens hiperespectrais na região doinfravermelho próximo." Universidade Federal de Pernambuco, 2014. https://repositorio.ufpe.br/handle/123456789/17177.
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CNPq
A adição de aditivos detergentes dispersantes nas gasolinas brasileiras será obrigatória a partir de julho de 2015. É necessário, portanto, desenvolver uma metodologia que permita quantificar esses aditivos para verificar o cumprimento da lei. Neste trabalho, é proposto um método que associa a técnica do ring-oven com as imagens hiperespectrais no infravermelho próximo (NIR-HI). Como os aditivos são adicionados em baixas concentrações, a técnica do ring-oven foi empregada para concentrá-los previamente à análise por NIR-HI. Anéis foram produzidos a partir de amostras de gasolinas comum adicionadas dos aditivos (denominados G, T, W e Y) fornecidos pela Agência Nacional do Petróleo, Gás Natural e Biocombustíveis (ANP) e as imagens adquiridas utilizando uma câmera hiperespectral (SisuCHEMA). Três estratégias de extração dos espectros do anel foram testadas a fim de se escolher a mais rápida e objetiva. A estratégia escolhida se baseia nos histogramas dos escores da primeira componente principal das imagens analisadas individualmente. Modelos de calibração individuais para cada aditivo foram construídos empregando a regressão por mínimos quadrados parciais (PLS), por isso, fez-se necessária uma etapa prévia de classificação. O melhor resultado para classificação foi obtido empregando a análise discriminante linear (LDA) associada ao algoritmo genético (GA) para seleção de variáveis, o qual apresentou uma taxa de classificações corretas de 92,31 %. Observou-se que a maioria dos erros de classificação envolveram amostras dos aditivos G e W. Um único modelo de regressão para esses dois aditivos foi, então, construído e seu erro foi equivalente aos dos modelos individuais. Os modelos de regressão apresentaram erros médios de predição entre 2 e 15 %. Esses resultados mostram que a metodologia proposta pode ser utilizada para determinar as concentrações dos aditivos com confiabilidade e garantir que eles estão sendo adicionados conforme a lei.
The addition of detergent dispersant additives to Brazilian gasoline will be mandatory from July 2015. It is necessary, therefore, to develop a methodology that allows quantifying these additives to verify their compliance with the law. In this work, a method that associates the ring-oven technique with near infrared hyperspectral images (NIR-HI) is proposed. Because the additives are added in low concentrations, the ring-oven technique was employed to concentrate them prior to the NIR-HI analysis. Rings were produced from samples of gasolines without additives spiked with additives (called G, T, W and Y) provided by the National Agency of Petroleum, Natural Gas and Biofuels (ANP) and the images were acquired using a hyperspectral camera (SisuCHEMA). Three strategies for extraction of the ring spectra were tested in order to select the faster and most objective. The chosen strategy is based on the histograms of the first principal component scores of the images analyzed individually. Regression models were built for each additive using partial least squares (PLS) regression, so it was necessary to have a previous classification stage. The best classification result was obtained using the linear discriminant analysis (LDA) associated with the genetic algorithm (GA) for variable selection, which showed a correct classification rate of 92.31 %. It was observed that most of the misclassification errors involved the samples of the G and W additives. A single regression model was then built for these two additives and its error was equivalent to the errors of the individual models. The regression models showed average prediction errors between 2 and 15 %. These results show that the proposed methodology can be used to determine the additive concentrations with reliability and to ensure that they are been added according to the law.
Watson, Jeffrey R., Summer Garland, and Marek Romanowski. "Intraoperative visualization of plasmon resonant liposomes using augmented microscopy." SPIE-INT SOC OPTICAL ENGINEERING, 2017. http://hdl.handle.net/10150/625390.
Full textBreitkreitz, Márcia Cristina 1979. "Desenvolvimento e caracterização de formulações de fármacos pouco solúveis em água empregando espectroscopia de imagem e quimiometria." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/249322.
Full textTese (doutorado) - Universidade Estadual de Campinas, Instituto de Química
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Resumo: Este trabalho teve como objetivo demonstrar como a espectroscopia NIR e Raman de imagem, juntamente com diversos métodos quimiométricos podem auxiliar a tomada de decisões durante o desenvolvimento farmacêutico de formulações de fármacos pouco solúveis em água, tendo como modelo a atorvastatina cálcica. Foram avaliados dois excipientes inovadores, o Gelucire® 44/14 e o Soluplus® que serviram de base para o desenvolvimento das formulações. O Gelucire® 44/14 foi utilizado para o preparo de dispersões sólidas pelos métodos da fusão e da evaporação do solvente e formulações do tipo SEDDS (Self-Emulsifying drug Delivery Sytems), enquanto o Soluplus® foi utilizado para o preparo de dispersões sólidas pelo método da evaporação do solvente. Nas dispersões preparadas pelo método da fusão foram observados aglomerados do fármaco, enquanto o método de evaporação do solvente apresentou melhor homogeneidade na distribuição dos componentes, porém a amostra se apresentou enrijecida após a secagem. Com as formulacoes SEDDS foi possível contornar estes problemas. Foram obtidas dispersões sólidas homogêneas de atorvastatina em Soluplus® utilizando etanol como solvente e lactose como diluente. As imagens foram geradas por calibração univariada, análise de componentes principais (PCA), regressão em mínimos quadrados clássicos (CLS) e regressão em mínimos quadrados parciais (PLS) e os resultados foram comparados. O método CLS foi estudado com mais detalhes devido às suas vantagens para utilização na pesquisa farmacêutica. Os principais fatores que levaram à problemas de exatidão com este método foram identificados e procedimentos para contorná-los foram apresentados e discutidos.
Abstract: The aim of this work was to demonstrate how NIR and Raman image spectroscopy associated with different chemometric methods can support decision making during pharmaceutical development of formulations of low water soluble drugs, using atorvastatin calcium as a model drug. Two innovative excipientes were used, Gelucire® 44/14 and Soluplus®. The former was used to prepare solid dispersions by both hot melt and solvent evaporation methods and to formulate Self Emulsifying Drug Delivery Systems (SEDDS). The latter was used to prepare solid dispersions by the solvent evaporation method. In solid dispersions prepared by the hot melt method it was observed lumps of the drug, whereas the solvent evaporation method presented more homogeneous distribution of the components, even though the sample became stiffened after drying. By preparing SEDDS formulations, it was possible to overcome these problems. A homogeneous solid dispersion of atorvastatin in Soluplus® was achieved by using ethanol as solvent and lactose as diluent. Chemical images were generated by univariate calibration, principal component analysis (PCA), classical least squares (CLS) and partial least squares (PLS). The capability of these methods to generate chemical images were compared. CLS method was studied more carefully due to its advantages for pharmaceutical research use. The main features that lead to accuracy issues were identified both in Raman and in NIR spectroscopy and procedures to overcome them were presented and discussed.
Doutorado
Quimica Analitica
Doutora em Ciências
Delmas, Anthony. "Contribution à l'étude de l'effet mirage : application aux mesures dimensionnelle et thermique par caméras visible proche infrarouge." Phd thesis, Toulouse, INPT, 2012. http://oatao.univ-toulouse.fr/8958/1/delmas.pdf.
Full textLi, Kefeng. "Biometric person identification using near-infrared hand-dorsa vein images." Thesis, University of Central Lancashire, 2013. http://clok.uclan.ac.uk/9238/.
Full textQuartel, John Conrad. "A study of near-field optical imaging using an infrared microscope." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313413.
Full textGofas, Salas Elena. "Manipulation of the illumination of an Adaptive Optics Flood Illumination Ophthalmoscope for functional imaging of the retina in-vivo High loop rate adaptive optics flood illumination ophthalmoscope with structured illumination capability In vivo near-infrared autofluorescence imaging of retinal pigment epithelial cells with 757 nm excitation." Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS195.
Full textAs the only transparent optical window of our body, the eye gives a unique access to the observation of neural and vascular networks. Today however, a new era is opening up for high-resolution imaging, which should no longer be limited to giving access to tissue structures, but may also tackle their functions. In fact, biomarkers for the functioning of the whole human body can be found in retinal imaging. Neurodegenerative diseases (Parkinson's, Alzheimer's) or arterial hypertension could thus be diagnosed early by high precision imaging of the retina. In my thesis work, I intended to show how the full-field ophthalmoscope, associated to imaging modalities adjusting geometrical settings of the illumination, could contribute to research on the retina. To achieve this ambitious goal, we modified the full-field ophthalmoscope built at the National Hospital Center of Quinze-Vingts with a specific image processing and two new instruments inspired by full-field microscopy. We have integrated these instruments into the illumination path of the ophthalmoscope to manipulate the geometry of the retinal illumination. These new implementations allow us to make use of more advanced imaging techniques, such as dark field imaging or noninvasive near infrared angiography. These imaging modalities have been exploited to image the retina functionally. We focused mainly on the light coupling function of photoreceptors and on blood perfusion
Lopez, Thomas. "Conception, fabrication et caractérisation de lentilles planaires nano-structurées dédiées aux capteurs d’images CMOS dans le proche-infrarouge." Thesis, Toulouse, ISAE, 2016. http://www.theses.fr/2016ESAE0019/document.
Full textThis work deals with the design, fabrication and characterization of nanostructuredplanar lenses dedicated to near infrared detection for CMOS image sensors.Applications and optronic systems involved in near infrared imaging have been investigatedin order to highlight the strong interest of CMOS images sensors for the 800-1100 nmspectral band. Limitations of silicon and pixel structure explain the integration of nanostructuredplanar lenses compatible with CMOS fabrication process : a plasmonic lens, a dielectricphase-Fresnel lens, a metallic Huygens lens and a gradient-index lens. 2D electromagneticsimulations of a CMOS pixel with each planar lens have demonstrated the good performanceof the Huygens lens for low fill factor pixels and the phase-Fresnel lens for standard pixels.3D simulations of these lenses have been performed for their integration and fabrication inCMOS image sensors. The 3D design by numerical simulations of a gradient-index lens hasshown its potential interest for CMOS pixels. The experimental performance of a dielectriclens "post-process" integrated/fabricated at LPN-CNRS and a metallic lens "in-process" by aCMOS foundy have been evaluated by electro-optical characterization. Several perspectivesof this work about lens fabrication and potential for improvement have been explored
Rameau, Julien, Katherine B. Follette, Laurent Pueyo, Christian Marois, Bruce Macintosh, Maxwell Millar-Blanchaer, Jason J. Wang, et al. "An Optical/Near-infrared Investigation of HD 100546 b with the Gemini Planet Imager and MagAO." IOP PUBLISHING LTD, 2017. http://hdl.handle.net/10150/624214.
Full textErickson, Sarah J. "Clinical Translation of a Novel Hand-held Optical Imager for Breast Cancer Diagnosis." FIU Digital Commons, 2011. http://digitalcommons.fiu.edu/etd/407.
Full textJoblin, Anthony. "Resolution and contrast of a time domain transillumination breast imaging system." Thesis, Queensland University of Technology, 1998.
Find full textVidas, Dario. "Performance Evaluation of Stereo Reconstruction Algorithms on NIR Images." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191148.
Full textCarneiro, Renato Lajarim. "Metodos quimiometricos aplicados a analise de medicamentos por espectroscopia de imagens." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/249316.
Full textTese (doutorado) - Universidade Estadual de Campinas, Instituto de Quimica
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Resumo: Foram estudadas metodologias quimiométricas para análises exploratórias e quantitativas de preparações farmacêuticas utilizando a técnica de espectroscopia de imagens na região do infravermelho próximo (NIR) e início do infravermelho médio (MIR). Foram realizadas três aplicações como segue: 1ª Análise exploratória para diagnosticar separações de fases em um medicamento apresentado na forma de pomada. Foram utilizados os métodos de Análise das Componentes Principais (PCA) e Resolução Multivariada de Curvas ¿ Quadrados Mínimos Alternados (MCR-ALS). Foi possível constatar que o solvente do princípio ativo (API) não formava uma fase estável com o veículo utilizado, ocorrendo separação de fases; 2ª Análise exploratória para diagnosticar formação de cristais em um medicamento apresentado na forma de creme (emulsão). Foram utilizados os métodos PCA e MCR-ALS. Foi observada a cristalização do API com o solvente utilizado; 3ª Determinação da distribuição superficial do princípio ativo e excipientes em comprimidos, avaliando a homogeneidade da amostra. Foram utilizados modelos PCA para análise exploratória e modelos Quadrados Mínimos Parciais por Intervalos (iPLS) para quantificação. Os mapas de concentração mostraram que o medicamento em questão era homogêneo com exceção de alguns cristais presentes. De maneira geral, a técnica de espectroscopia de imagens mostrou grande potencial na determinação da homogeneidade de fármacos, gerando resultados que podem ser interpretados visualmente através dos mapas de absorção, escores ou de concentração.
Abstract: Chemometric methods were studied for exploratory and quantitative analysis of pharmaceutical preparations using near and mid infrared (NIR and MIR) imaging spectroscopy. Three applications were accomplished as follows: 1st Exploratory analysis to diagnose phase separation in a ointment formulation. It was used Principal Component Analysis (PCA) and Multivariate Curve Resolution - Alternating Least Squares (MCR-ALS) methods. Phase separation was observed between ointment base (vehicle) and solvent of the active ingredient (API); 2nd Exploratory analysis to diagnose crystallization process in a cream (emulsion). It was used PCA and MCR-ALS methods. Crystallization was observed after stability period due precipitation of a API salt; 3rd Determination of superficial distribution of the API and excipients in tablets in order to evaluate sample homogeneity. PCA models were used for exploratory analysis and Interval Partial Least Squares (iPLS) model was applied for API and excipient quantification. Concentration maps of tablets showed good API and excipient homogeneity, except for a few large crystals. These applications showed that imaging spectroscopy is a powerful tool for homogeneity studies of pharmaceutical preparations. Results of three applications could be visually interpreted through absorption, score and concentration maps.
Doutorado
Quimica Analitica
Doutor em Ciências
Silva, Carlos Juliano da 1985. "Comparação entre reflectância difusa convencional e imagem hiperespectral na região do infravermelho próximo para determinação de viscosidade Mooney e plasticidade Wallace em borracha natural." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/249951.
Full textDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Química
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Resumo: No presente trabalho foi feita uma comparação entre as técnicas de reflectância difusa convencional e imagem hiperespectral na região do infravermelho próximo para determinação de viscosidade Mooney (VM), plasticidade inicial (Po), plasticidade após envelhecimento acelerado (P30) e Índice de Retenção de Plasticidade (PRI) em amostras de borracha natural pré-vulcanizadas. Os espectros foram adquiridos utilizando dois espectrofotômetros com transformada de Fourier e uma câmera hiperespectral e os valores de referência determinados de acordo com suas respectivas normas ASTM. Foram construídos modelos de regressão PLS e os seus respectivos valores de erro médio quadrático da previsão (RMSEP) avaliados. Como resultados, foi possível observar um ganho na capacidade preditiva dos modelos PLS com o aumento da área medida de cada amostra. Os modelos obtidos por ambos os pré-processamentos (MSC e derivada de segunda ordem) não apresentaram diferenças significativas quanto às suas capacidades preditivas, ao passo que a seleção de variáveis usando o método Jack-Knife possibilitou a obtenção de modelos com menor número de fatores. Os valores de RMSEP dos modelos otimizados foram de 4,6; 2,9; 3,0 e 5,3 para a determinação da VM, Po, P30 e PRI. Embora os resultados para os três instrumentos possam ser considerados equivalentes, o uso da câmera hiperespectral apresenta algumas vantagens, tais como: tempo de aquisição espectral aproximadamente seis vezes menor quando comparada aos equipamentos convencionais e maior robustez para determinação da viscosidade e plasticidade na presença de contaminantes
Abstract: In this work a comparison between conventional diffuse reflectance (FT-NIR) and hyperspectral image (HI-NIR) in the Near-Infrared region for determination of Mooney viscosity (VM), initial Plasticity (Po), plasticity after accelerated aging and plasticity retention index (PRI) in pre-vulcanized rubber samples was made. The spectra were acquired by using two Conventional Fourier Transform Spectrometer and one hyperspectral camera. The reference values of the rheological parameters were determined according to their respective ASTM standards. Partial least squares (PLS) regression models were constructed and their respective root mean square error of prediction (RMSEP) were evaluated. As results, it was possible to observe a gain in the prediction ability of the PLS models with increasing probed area. The models obtained for both pretreatments (MSC and second derivative) showed no significant differences. However, the variables selection using the Jack-Knife method allowed to obtain models with a low number of factors. The RMSEP values of the optimized models were 4.6, 2.9, 3.0 and 5.3 for determination of MV, Po, P30 and PRI, respectively. Though the results for the three instruments can be considered equivalent, the hyperspectral image instrument presents some relevant advantages, being about six times faster than most of conventional bulk spectrometers, and producing robust spectral data by ensuring sample representativeness, and minimizing the degrading effect of the presence of contaminants
Mestrado
Quimica Analitica
Mestre em Química
Gonzalez, Jean. "Development and Testing of a Second Generation Hand-held Optical Imager." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/596.
Full textCarter, John. "Étude des minéraux hydratés à la surface de Mars par les imageurs hyperspectraux OMEGA/MEx et CRISM/MRO." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00657804.
Full textSu, Jang-Shang, and 蘇正翔. "Near Infrared Image for Rice Quality Inspection." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/52837321113072640362.
Full text國立臺灣大學
生物產業機電工程學研究所
91
The objective of this research was to study the feasibility of applying near-infrared multiple-spectral imaging system to detect milled rice quality. Eight near-infrared filters of different wavelengths (880, 910, 920, 940, 960, 980, 990, and 1014nm) were adopted. Rice qualities including moisture, protein, and amylose were measured from twenty-six rice samples collected from domestic markets. The multiple linear regression analysis among rice qualities and multi-wavelength reflection data (packed rice) indicated that regression coefficients of determination R2 , standard errors of calibration (SEC) and relative standard errors of calibration (RSEC) were respectively 0.8512, 0.3089(% d.b.) and 1.90% for moisture; 0.6077, 0.451(% d.b.), and 5.43% for protein; and 0.6333, 2.954(% d.b.), and 15.61% for amylose. The multiple linear regression analysis among rice qualities (separated rice) and multi-wavelength reflection data (individual rice kernels) indicated that regression coefficients of determination R2 , standard errors of calibration (SEC) and relative standard errors of calibration (RSEC) were respectively 0.5249, 0.492(% d.b.) and 2.98% for moisture; 0.532, 0.5065(% d.b.), and 6.16% for protein; and 0.6413, 3.01(% d.b.), and 14.95 for amylose. The near-infrared multiple-spectral imaging system developed in this study reveals the potential of sorting rice according to rice qualities in a rice plant processing line.
洪佳君. "A Novel Near-Infrared Image Analysis Technology for Blood Oxygen Saturation Measurement." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/65092614684191570923.
Full text國立彰化師範大學
機電工程學系
98
Based on the Beer-Lambert's analysis model, the commercial Pulse Oximeter senses the optical reflection or refraction to provide simply point signal. In this research report, a novel algorithms of optical image correction of the blood oxygen saturation is proposed. However, reflection images technique can present arterial oxygen saturation by pulse oximeter (SpO2) of non-invasive and non-contact and region information. We use the charge-coupled device (CCD) camera to receive the images. The system adopts 630nm red and 940nm near-infrared wavelengths to derive the tissue blood oxygen saturation and investigate their correlation. According to the experimental results, it proves the feasibility of measuring blood oxygen saturation by iris and hand tissue low oxygen approach, while variations trends are the same. Moreover, after adjustment measurement value average deviation reaches around 0.02% could be developed to provide more tissue information for research and medical uses in the future.
Lee, Sheng Ming, and 李盛銘. "Determination of Rice Varieties by using Near-Infrared and Image Processing Technique." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/91498618781195736832.
Full textChen, Chun-Shen, and 陳春生. "Applications of Near Infrared Image Process Technique in the Alignment of GaAs Wafer." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/87320264256675677439.
Full text元智大學
機械工程學系
93
For the current GaAs wafer processing such as dicing, die bonding, Filp-Chip bonding and inspection after assembly, all need the precision positioning of the wafer. Because it is unable to see through the wafer surface to detect the inside circuit for the alignment directly, it is relatively poor and indirect in the precision when using outer alignment marks. The study will apply the near infrared ray (NIR Alignment) alignment technique to improve the current positioning method in those non-through holes and non-transparent materials such as the GaAs wafer. By utilizing this technique can have much better accuracy and shorten the alignment time. For the experiment, it uses a near infrared with the wavelength greater than 886 nm and a general CCD (wavelength is 400~1000nm), together with a NIR-Lens (wavelength is 400~1200nm) and the infrared light source (wavelength is 800~1300nm) to see through the smooth side of GaAs wafer surface. It is able to detect the circuit inside the wafer. The resulting images are then fitted into the self-developed software for the processing. A user -friendly interface is designed in the software so that the system is easy to operate in the wafer position alignment. The software is developed with the Borland C ++ 6 tool and combined with the application of Matrox Imaging Library 7.0. The program is designed to have similar functions and interfaces as what the general commerce software has. For the hardware setups, the study surveys many of the CCD and Lenses capable of handling the infrared. And do trial tests with the GaAs wafer to obtain the best-fit system. It is then finalized to use in the alignment test. The alignment technique described in the study uses the circuit image inside the wafer directly for the positioning, it is considered as a very efficient and better method in the application of GaAs wafer equipments that need precision positioning.
Bhatt, Manish. "Toward Computationally Efficient Models for Near-infrared and Photoacoustic Tomographic Imaging." Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2831.
Full textShaw, Calbvin B. "Development of Novel Reconstruction Methods Based on l1--Minimization for Near Infrared Diffuse Optical Tomography." Thesis, 2012. http://hdl.handle.net/2005/3229.
Full textLin, Chao-chun, and 林昭俊. "Research that near infrared ray diffraction technology in the cell-phone camera focus adjustable and image evaluation." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/32835138138249410622.
Full text逢甲大學
資訊電機工程碩士在職專班
95
This paper demonstrates a new optical technique in which we apply the moire pattern theory to adjust the focal length of cell-phone camera. To increase the production capacity and reduce the cost of production of cell-phone camera, we develop a new adjustable focus system with this new technique. This method can test the resolution of cell-phone camera reaching 1.3 million pixels.
Price, Dennis Michael. "Augmentation of near-infrared (NIR) and in-plant beef video image analysis (VIA) systems to sort carcasses into tenderness categories." 2008. http://digital.library.okstate.edu/etd/umi-okstate-2652.pdf.
Full textYou, Cian, and 游鈐. "Analysis of Image and Spectrum Properties on Skin Cells by Mirau-based Full-field Optical Coherence Tomography Combined with Near-infrared Raman Spectroscopy." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/wpqjq6.
Full text國立臺灣大學
光電工程學研究所
107
Mirau-based full-field optical coherence tomography (FF-OCT) has many advantages such as high resolution, low vibration noise, and good dispersion compensation. Thus it can observe the morphology and intensity distribution of the sample but not its chemical component. Near-infrared (NIR) Raman spectroscopy can recognize the chemical institution of the sample with the advantages of low fluorescent effect and deep penetration, but not its microstructure. Therefore, measuring the five skin in vitro cell lines, including Keratinocyte cell lines, Basal cell carcinoma cell lines, Squamous cell carcinoma cell lines, Melanocyte cell and Melanoma cell lines, through combining both two techniques can acquire the microstructure, intensity distribution and chemical molecular information inside cells. Then in order to increase the accuracy and speed of the judgment in the clinical application, we use the ensemble learning algorithm of machine learning to calculate and classify them. In the in vitro experiments, the FF-OCT three-dimensional (3D) images of the five skin cell lines show the obvious protrusion on the surface of cancerous cells, that may relate to the aggressiveness of cell. And due to the smoother surface and more homogeneous internal space of the normal keratinocyte cell lines, they have lower average intensity. We utilized software to semi-automatically capture totally 283 different cells’ 3D information, including volume, compactness, surface roughness, internal average intensity, and internal intensity standard deviation. The results imply the last three features can be great parameters to distinguish between cancerous and normal cells, and the internal average intensity can be used to classify the normal melanocyte cell and keratinocyte cell. The features included compactness and volume can also distinguish different cancerous cells, but the standard deviation of these two features is too large, thus they can not be excellent indicators for classification. As a result, it needs combining the Raman spectroscopy. On the Raman spectrum of different in vitro skin cell lines, they indicate the standard deviation of the Raman spectrum from normal cells is larger than ones from cancerous cells, that may due to the biological characteristics of normal cells, that is to say, normal cells have larger variation because the cancerous cells reproduce them within one species. On the other hand, the standard deviation of Raman spectrum form cancerous cells is smaller, and also these Raman spectrums are seemingly corresponding with the literature. We can successfully classify the melanoma cells with keratinocyte-based cancerous cells / the basal cell carcinoma cells with the squamous cell carcinoma cells by six peaks and four bands (Peaks: 746, 780, 857, 1024, 1063, 1209 cm-1; Bands: 925-946, 990-1010, 1088-1130, 1281-1302 cm-1) / seven peaks and three bands (Peaks: 854, 898, 1064, 1158, 1191, 1233, 1452 cm-1; Bands: 923-946, 1007-1028, 1291-1336 cm-1) in the Raman spectrum of 600-2000 cm-1. Consequently, the classification of Raman spectrums on cancerous cells has better performance. Eventually, we employ the ensemble learning form machine learning to classify them, which also verify the above results. Decision tree method in ensemble learning has better-classified results generally. The accuracy can reach 85.9% on distinguishing normal and cancerous cell by FF-OCT features. Also, these features can distinguish every species of normal skin cell. Then Raman spectrums can completely classify three kinds of cancerous skin cell. Therefore, these techniques can distinguish these five normal and cancerous skin cell-lines very accurately and fast. And it shows the method of integrating FF-OCT, NIR Raman spectroscopy and ensemble learning can be an important diagnostic tool and direction for clinical research and application.
Pimenta, António José Gonçalves. "Visão Hiperespectral em Contexto Vitivinícola." Master's thesis, 2010. http://hdl.handle.net/10348/668.
Full textAcompanhando a inovação tecnológica, surgem a cada dia, novas formas de análise de elementos biológicos que permitem obter a mais variada informação para diversos fins. A utilização de imagem hiperespectral na produção vitivinícola tem suscitado interesse na comunidade científica. A sua aplicação envolve metodologias cujos resultados se apresentam de uma forma mais objectiva, consistente e económica. É uma técnica que apresenta vantagens face à imagem multiespectral e que permite ainda o desenvolvimento de técnicas de análise ambientalmente sustentável. Nesta dissertação utilizaram-se espectros de reflectância através de imagens hiperespectrais retiradas a 45 amostras de uva da casta Cabernet Sauvignon, que foram posteriormente utilizados como dados numa rede neuronal. O principal objectivo é obter um coeficiente de correlação entre os dados obtidos em laboratório e os resultados da rede neuronal. Ao longo da presente dissertação são descritas diversas temáticas que envolvem a criação de redes neuronais com diferentes algoritmos procurando encontrar aquele que produz o melhor coeficiente de correlação. Assim, este estudo centra-se na aplicação de novas tecnologias de análise da qualidade da uva para a produção do vinho, factor determinante para a qualidade do produto final.
Along with technological innovation, come out every day, new ways to analyze the biological elements that help get more varied information for various purposes. The use of hyperspectral imaging for wine production has sparked interest in the scientific community. Their implementation involves methodologies whose results are presented in a more objective, consistent and economical. This technique has advantages over multispectral image and will also develop techniques for analyzing environmentally sustainable. In this work we used reflectance spectra using hyperspectral images taken from the 45 samples of grapes from Cabernet Sauvignon, which were used as data in a neural network. The main objective is to obtain a correlation coefficient between the data obtained in the laboratory and the results of the neural network. Throughout this paper describes several issues that involve the creation of neural networks with different algorithms trying to find one that produces the best correlation coefficient. This study focuses on the application of new technologies for analyzing the quality of grapes for wine production, major factor in the quality of the final product.
Lu, Jhih Syun, and 盧致勳. "Removing glasses from near-infrared images of human face." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/97211859652872659219.
Full textSilva, Pedro Nuno Rodrigues da. "Influence of near-infrared images in the object detection task." Master's thesis, 2018. http://hdl.handle.net/1822/64267.
Full textWith the rise of data, the creation of algorithms capable of using that data is an evolution that appears naturally. Taking advantage of those algorithms, impressive advances have been made in the ability for a computer to recognize objects. Nevertheless, even after all those advances, further ones can still be achieved. With the reduction of infrared cameras prices and at the same time the increase in the picture quality of those same cameras, they are becoming reliable solutions for commercial applications. These images provide an all new kind of information that is not available with the use of only the traditional visible light images. As such, in this work, it is tested if the additional usage of infrared images, in complement with the visible image, has any kind of influence in the results for object detection for different levels of illumination, in the interior of a vehicle. In order to test this influence, several tests are done in equivalent conditions and the results between using infrared images and visible light images compared. In addition to that, there were also experiments done in the usage of both types of images at the same time as a way to improve detection. It was also documented the influence of some more traditional modifications over the images of the training set, such as data augmentation and changes in the number of classes. To keep the results of the experiments as comparable as possible, a training methodology was planned and used in all of the training processes of the algorithms.
Com o aumento da quantidade de dados, a criação de algoritmos capazes de os utilizar é uma evolução que surge com naturalidade Tirando partido desses algoritmos, foram feitos avanços impressionantes na capacidade de reconhecimento de objetos por parte dos computadores. Mesmo com todos esses avanços ainda existe grande capacidade para melhorar. Tendo os preços das câmaras de infravermelhos diminuído ao mesmo tempo que a qualidade de imagem dessas mesmas câmaras aumentado, elas têm atraído atenção como soluções comercialmente válidas. Estas imagens proporcionam todo um novo tipo de informação que não é disponibilizada através de a utilização individual de imagens visíveis tradicionais. Como tal vai ser testado se a utilização adicional das imagens de infravermelhos têm influencia nos resultados apresentados na deteção de objetos para diferentes níveis de iluminação, no interior de um automóvel. De modo a testar esta influência são realizados vários testes em condições equivalentes e comparados os resultados obtidos entre a utilização de imagens infravermelhos e a utilização de imagens visíveis. Para além disso são também feitas experiências na utilização de ambos os tipos de imagens ao mesmo tempo como forma de melhorar a deteção. Para além das experiências em ambos os espetros foram documentados também a influência de algumas modificações mais tradicionais sobre as imagens de treino, tais como o aumento de dados e alteração de número de classes. Para manter os resultados das experiências o mais fidedignos possível de modo a comparar os resultados entre elas uma metodologia de treino foi utilizada em todos os treinos de algoritmos.
Chien, William Hsuan-Yu, and 錢軒宇. "Estimation of Diffusion of Near-shore Heated Water Discharge Using UAV Thermal Infrared Images." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/kq63wj.
Full text國立臺灣海洋大學
河海工程學系
107
With the development of social and economic conditions, electricity has become an indispensable source of energy for people's daily lives. In response to the increasing demand for electricity, existing power plants have gradually moved to reconstruction or expansion. Due to the current mainstream power generation mode, whether using coal-fired or nuclear power generator sets, there is a problem that the generator set needs to be cooled. Therefore, the power plants are mostly located in the coastal areas where a large number of water sources can be easily obtained. In order to avoid the direct impact of heated water discharge on the ecological environment, understanding the influence of warm water drainage on the nearby sea area and finding out its diffusion mechanism is an important issue in the marine ecological environment. The research on field surveying of sea temperature change is more based on the Eulerian type. The instruments used for fixed-point observation are costly and difficult to maintain. The cost of observation work is expensive, and only a single point of data can be obtained, and it`s hardly possible to observe comprehensively on the temperature distribution of the sea area . This study explores the application of thermal infrared temperature imaging technology, in conjunction with UAV in the sea area around the heated water discharge of Ho-Ping sea area for UAV thermal infrared images photography operations. According to the results, it takes only 15 minutes for a single operation time to make multiple observations in one tidal period, and analyze the difference between the rising and falling tides for temperature and the diffusion of near-shore heated water discharge to comprehend the sea surface temperature distribution.
Rost, Steffen [Verfasser]. "LINC-NIRVANA piston control and near infrared polarization images of the Orion proplyds / vorgelegt von Steffen Rost." 2008. http://d-nb.info/990596125/34.
Full textPerumanoor, Tinsy John. "Visible versus near-infrared light penetration depth analysis in an intralipid suspension as it relates to clinical hyperspectral images." 2008. http://hdl.handle.net/10106/1138.
Full textSoloviov, Oleksii. "Geospatial assessment of pest-induced forest damage through the use of UAV-bases NIR imaging and Gi-technology." Master's thesis, 2014. http://hdl.handle.net/10362/11545.
Full textEvery year oak forests become infected by populations of the splendor beetle (Agrilus bigutattus). The detection and monitoring of infected trees is important, because of economic and ecological reasons. Traditional approach to detect the pest infestation level of each tree is performed by using ground-based observation method. It is long and ineffective method because of limitations, such as: poor visibility of the highest trees and impenetrability of some forest plots. The main goal is to identify infected oaks trees by splendor beetle at the 2 study areas. Pest-infested oak trees by splendor beetle are characterized by high level of defoliation and different reflection signatures. These features can be detected by using very high resolution color infrared (CIR) images. In August 2013 it was performed flight campaign by using unmanned aerial systems (UAS). CIR images were covering 2 test sites in rural area, near city Soest (Germany). Study areas represents small, privately owned oaks forest plots. In this research was used a small quadrocopter (Microdrone MD4-200) with vertical takeoff and landing capability (VTOL). Microdrone is carried a digital camera (Canon PowerShot SD 780 IS). Additionally, camera was modified to capture not just a visible spectrum, but also NIR spectrum (400 to 1100 nm) of infected oaks. The proposed workflow includes the CIR image acquisition, image stitching, radiometric correction, georeferencing, modified vegetation indices calculation, pixel based and object-based image classification and accuracy assessment. Images were classified using 5 classes (healthy, low infected, high infected, died trees and canopy gaps). Finally, the results can be integrated with existing WMS service. Applying of UAV make possible to obtain multitemporal data, which facilitates monitoring and detection of infected trees. The work was performed in close cooperation with the Forestry Department of Soest (Germany).
Turri, Paolo. "Advancing next generation adaptive optics in astronomy: from the lab to the sky." Thesis, 2017. https://dspace.library.uvic.ca//handle/1828/8533.
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