Dissertations / Theses on the topic 'Digital imaging'
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Wittwer, Christian. "Fundamentals of digital imaging /." Online version of thesis, 1995. http://hdl.handle.net/1850/12257.
Full textVelasco, J. Cabello. "High throughput digital autoradiography imaging." Thesis, University of Surrey, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.510588.
Full textWalls, Kirsty. "Nanophotonic filters for digital imaging." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4514/.
Full textSpencer, Timothy. "Digital imaging of the retina." Thesis, University of Aberdeen, 1992. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=124209.
Full textWolf, Michael Trevor. "Digital holographic imaging of microorganisms." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36684.
Full textIncludes bibliographical references (leaf 25).
Imaging aquatic microorganisms in 3D space is of interest to biologists and ocean scientists seeking to understand the behavior of these organisms in their natural environments. In this research, digital holographic imaging (DHI), with a 4f system providing transverse magnification of 9.1, is used to study such microorganisms. To test the imaging technique, DHI was used to locate and track 10 micrometer Dunaliella freely swimming in a 30 milliliter tank of artificial ocean water. Multiple holograms were recorded onto one frame with laser pulsing to identify short algae trajectories. An automatic algae locating program was designed, but the signal to noise ratio was too low, and therefore the program could only locate algae reliably with manual confirmation. With refinement to the experimental setup, the signal to noise ratio could be increased, and this imaging technique could be used to analyze many systems of aquatic microorganisms interacting in a 3D space.
by Michael Trevor Wolf.
S.B.
Amba, Prakhar. "Learning methods for digital imaging." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAS011/document.
Full textTo produce color images we need information of three primary colors (notably Red, Green and Blue) at each pixel point. To capture this information most digital cameras utilize a Color Filter Array (CFA), i.e. a mosaic arrangement of these colors is overlaid on the sensor such that only one color is sampled at one pixel.This arrangement is similar to the Human Visual System (HVS) wherein a mosaic of LMS cones (for sensitivity to Long, Medium and Short wavelength) forms the surface of the retina. For HVS, the arrangement is random and differs between individuals, whereas for cameras we use a regular arrangement of color filters. For digital cameras one needs to interpolate the missing colors to recover the full color image and this process is known as demosaicing. Due to regular or periodic arrangement of color filters the output demosaiced image is susceptible to false colors and artifacts. In literature, the demosaicing algorithms proposed so far cater mainly to regular CFAs.In this thesis, we propose an algorithm for demosaicing which can be used to demosaic any random or regular CFA by learning statistics of an image database. Further, we optimize and propose CFAs such that they outperform even the state of art algorithms on regular CFAs. At the same time the demosaiced images from proposed CFAs are free from false colors and artifacts.We extend our algorithm such that it is not limited to only three colors but can be used for any random arrangement of any number of spectral filters. Having more than three colors allows us to not only record an image but to record a spectral signature of the scene. These mosaics are known as Spectral Filter Arrays (SFAs). Recent technological advances give us greater flexibility in designing the spectral filters and by demosaicing them we can get more accurate colors and also do estimation of spectral radiance of the scene. We know that silicon is inherently sensitive to Near-Infrared radiation and therefore both Visible and NIR filters can be combined on the same mosaic. This is useful for low light night vision cameras which is a new challenge in digital imaging.We demonstrate the applicability of our algorithm on several state of the art cameras using these novel SFAs. In this thesis, we demonstrate that our method outperforms the state of art algorithms in image quality and computational efficiency. We propose a method to optimize filters and their arrangement such that it gives best results depending on metrics and application chosen.The method based on minimization of mean square error is linear in nature and therefore very fast and suitable for real time applications. Finally to challenge the linear nature of LMMSE we propose a demosaicing algorithm using Neural Networks training on a small database of images which is slightly better than the linear demosaicing however, it is computationally more expensive
Datodi, Mark. "Digital imaging: Creating new realities." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 1999. https://ro.ecu.edu.au/theses/1253.
Full textCabello, Velasco J. "High throughput digital beta autoradiography imaging." Thesis, University of Surrey, 2009. http://epubs.surrey.ac.uk/844626/.
Full textDomínguez-Caballero, José Antonio. "Digital holographic imaging of aquatic species." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35655.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 160-174).
The aim of this thesis is to design, develop and implement a digital holographic imaging (DHI) system, capable of capturing three-dimensional (3D) images of aquatic species. The images produced by this system are used in a non-intrusive manner to characterize the abundance, morphology and 3D location of the aquatic species. The DHI system operates by recording the hologram produced by the interference between a reference wave and the wave scatter by a coherently illuminated object with a charge-couple-device (CCD). The recorded hologram contains information about the amplitude and phase of the optical field as modified by the object. This optical field is retrieved by numerical algorithms, which enable the reconstruction of the field at different distances relative to the detector from a single hologram. The recording of the holograms with the CCD allows the implementation of image post-processing techniques intended to enhance the reconstructed images. A description of the optimization of the reconstruction by means of an auto-scan algorithm and the reconstruction of large holograms are discussed. It is found that the in-line single-beam experimental set-up is the most suitable configuration for underwater imaging of aquatic species.
(cont.) This is experimentally verified by imaging brine shrimp and copepods under various conditions. Small, sub-10um features of the objects were successfully resolved. It is also found that by using configurations with a spherical reference wave, resolutions comparable to those obtained by a conventional optical microscope can be achieved in a "lens-free" approach with larger working distances.
by José Antonio Domínguez-Caballero.
S.M.
Luo, Wen. "Assessment of Tooth Colour using Digital Imaging." Thesis, University of Leeds, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485749.
Full textKunkel, Timo Daniel. "Colour appearance modelling for digital imaging pipelines." Thesis, University of Bristol, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528097.
Full textSindle, Timothy Grant. "An autonomous, omnidirectional, digital, borehole imaging system." Thesis, Stellenbosch : Stellenbosch University, 2005. http://hdl.handle.net/10019.1/50260.
Full textENGLISH ABSTRACT: This thesis documents the research, design, implementation and successful testing of a prototype camera probe to survey the inside of hard rock boreholes. Rock core images are intended to aid mine geologists in recording the borehole rock layers. The system consists of a wide-angle fisheye lens mounted onto a CMOS digital image sensor. The image data is read in and processed by an FPGA, then stored on a removable sn flash memory card. All of the aforementioned components are mounted inside a watertight Perspex tube. Application specific PC software is used to process the data to form strip images of the borehole wall. Using mathematical correlation, these images are stitched together into a virtual core that is a flattened representation of the rock inside the borehole. The probe contains its own power and light source which enables it to be deployed easily with no external wires needed for operation. The storage capacity, image quality, and lighting design can be improved in future design revisions.
AFRIKAANSE OPSOMMING: Die inhoud van hierdie tesis behels die navorsmg, ontwerp, implementering, en suksesvolle toetsing van 'n prototipe kameraprobe wat dit moontlik maak om die binnewand van boorgate in harde rots te besigtig. Beelde van die rotskern vergemaklik die taak van myngeoloë wat die rotslae, waardeur die boorgat strek, moet opteken. Die stelsel behels 'n wyehoek bollens wat op 'n CMOS digitale sensor gemonteer is. Die data gewerf vir die vorming van die beeld word deur 'n FPGA ingelees en verwerk, waarna dit op 'n verwyderbare SD flits geheuekaart gestoor word. Die bogenoemde komponente word alles binne 'n waterdigte Perspexbuis monteer. Gebruikerspesifieke sagteware vir persoonlik rekenaars word gebruik om die data te verwerk en sodoende strookbeelde van die binnewand van die boorgat te vorm. Met gebruik van wiskundige korrelasie word hierdie beelde aan mekaar gelas om 'n virtuele kern te vorm, wat 'n voorstelling is van die rots binne die boorgat. Die probe bevat self krag en ligbronne, wat toelaat dat dit maklik bruikbaar is sonder enige eksterne bedrading. Toekomstige hersienings van die ontwerp sal verbeterde data geheue, beeldgehalte en beligting kan bewerkstellig.
Gonçalves, Bruno Filipe Pimparel. "Digital imaging processing tools for neuronal images." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/10584.
Full textOs neurónios são celulas especializadas do Sistema Nervoso, cujas funções se baseiam na correta formação de três compartimentos subcelulares primários – corpo celular, axónio e dendrites – e na rede neuronal que formam para passar a informação entre si. A análise quantitativa das características destas estruturas pode ser usada para estudar a relação entre a morfologia e função neuronal, e monitorizar alterações que ocorram em células individuais ou ao nível da rede, que se possam correlacionar com doenças neurológicas. Nesta tese foi efetuada uma pesquisa de ferramentas digitais disponíveis dedicadas ao processamento e análise de imagens neuronais, com enfoque na sua aplicabilidade para analisar as nossas bioimagens neuronais de fluorescência adquiridas no dia-a-dia. Nos programas selecionados (NeuronJ, NeurphologyJ e NeuriteQuant) foi primeiro avaliada a necessidade de preprocessamento, e os programas foram subsequentemente utilizados em conjuntos de imagens de culturas primárias de córtex de rato para comparar a sua eficácia no processamento destas bioimagens. Os dados obtidos com os vários programas foram comparados com a análise manual usando o ImageJ como ferramenta de análise. Os resultados demonstraram que o programa que aparenta funcionar melhor com as nossas imagens de fluorescência é o NeuriteQuant, porque é automático e dá resultados globalmente semelhantes aos da análise manual, especialmente na avaliação do Comprimento das Neurites por célula. Uma das desvantagens é que a quantificação da ramificação das neurites não dá resultados satisfatórios e deve continuar a ser realizada manualmente. Também realizamos uma pesquisa de ferramentas de processamento de imagem dedicada a imagens de contraste de fase, mas poucos programas foram encontrados. Estas imagens são mais fáceis de obter e mais acessíveis economicamente, contudo são mais difíceis de analisar devido às suas características intrínsecas. Para contornar esta lacuna, estabeleceu-se e otimizou-se uma sequência de processamento e análise para melhor extrair informação neuronal relevante de imagens de contraste de fase utilizando o programa ImageJ. A sequência desenvolvida, na forma de uma macro do ImageJ designada NeuroNet, foi aplicada a imagens de contraste de fase de culturas neuronais em diferentes dias de diferenciação, na presença ou ausência de um inibidor farmacológico, com o objetivo de responder a uma questão científica. A macro NeuroNet desenvolvida provou ser útil para analisar estas bioimagens, existindo contudo espaço para ser aperfeiçoada.
Neurons are specialized cells of the Nervous System, with their function being based on the formation of the three primary sub cellular compartments – soma, axons, and dendrites – and on the neuritic network they form to contact and pass information to each other. The quantitative analysis of the characteristics of these structures can be used to study the relation between neuronal morphology and function, and to monitor distortions occurring in individual cells or at the network level that may correlate with neurological diseases. In this thesis a survey of freely available digital tools dedicated to neuronal images processing and analysis was made with an interest in their applicability to analyse our routinely acquired neuronal fluorescent bioimages. The selected program´ (NeuronJ, NeurphologyJ and NeuriteQuant) preprocessing requirements were first evaluated, and the programs were subsequently applied to a set of images of rat cortical neuronal primary cultures in order to compare their effectiveness in bioimage processing. Data obtained with the various programs was compared to the manual analysis of the images using the ImageJ analysis tool. The result show that the program that seems to work better with our fluorescence images is NeuriteQuant, since it is automatic and gives overall results more similar to the manual analysis. This is particularly true for the evaluation of the Neurite Length per Cell. One of the drawbacks is that the quantification of neuritic ramification does not give satisfactory results and is better to be performed manually. We also performed a survey of digital image processing tools dedicated to phase contrast microphotographs, but very few programs were found. These images are easier to obtain and more affordable in economic terms, however they are harder to analyse due to their intrinsic characteristics. To surpass this gap we have established and optimized a sequence of steps to better extract relevant information of neuronal phase contrast images using ImageJ. The work-flow developed, in the form of an ImageJ macro named NeuroNet, was then used to answer a scientific question by applying it to phase contrast images of neuronal cultures at different differentiating days, in the presence or absence of a pharmacological inhibitor. The developed macro NeuroNet proved to be useful to analyse the images however there is still space to improvement.
Brown, Carol Christy. "Plugged-in : 40 years of digital imaging /." Online version of thesis, 1994. http://hdl.handle.net/1850/11892.
Full textParshall, Daniel. "Phase imaging digital holography for biological microscopy." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000285.
Full textSamsheerali, P. T. "Investigations on improved digital holographic imaging techniques." Thesis, IIT Delhi, 2015. http://localhost:8080/iit/handle/2074/6928.
Full textLiu, Changgeng. "Coherent Digital Holographic Adaptive Optics." Scholar Commons, 2015. https://scholarcommons.usf.edu/etd/5527.
Full textTsang, Kwong Man. "A real-time acoustic imaging system using digital signal processor array." HKBU Institutional Repository, 1995. http://repository.hkbu.edu.hk/etd_ra/49.
Full textBasu, Ansu. "Diabetic retinopathy screening using advanced digital imaging technology." Thesis, University of Newcastle upon Tyne, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413265.
Full textHobson, David Mark. "Characterisation of rice grains using digital imaging techniques." Thesis, University of Kent, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.509657.
Full textGomes, David Menotti. "Contrast enhancement in digital imaging using histogram equalization." Phd thesis, Université Paris-Est, 2008. http://tel.archives-ouvertes.fr/tel-00470545.
Full textMacLennan-Brown, Ken. "Quantification of artefacts inherent within digital imaging chains." Thesis, University of Westminster, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251717.
Full textVettenburg, Tom. "Optimal design of hybrid optical digital imaging systems." Thesis, Heriot-Watt University, 2010. http://hdl.handle.net/10399/2438.
Full textWisby, C. "Real-time digital imaging techniques for flow visualization." Thesis, University of Surrey, 1989. http://epubs.surrey.ac.uk/848586/.
Full textAl, Sulaiman Rana. "Establishing A Quality Assurance Routine For Digital Imaging." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1519232738854316.
Full textManivannan, Ayyakkannu. "Digital fundus imaging with a scanning laser ophthalmoscope." Thesis, University of Aberdeen, 1993. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU602038.
Full textVilas, Boas Lenilson Lemos. "Identificação de pragas na agricultura utilizando APIs de visão computacional." Pontifícia Universidade Católica de São Paulo, 2018. https://tede2.pucsp.br/handle/handle/21763.
Full textMade available in DSpace on 2018-12-14T11:45:48Z (GMT). No. of bitstreams: 1 Lenilson Lemos Vilas Boas.pdf: 4297593 bytes, checksum: 1aa03b41410e014c8021095ee73b5e7b (MD5) Previous issue date: 2018-11-26
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
Systems that use Computer Vision Application Program Interfaces (APIs) can learn and identify patterns and thus perform associations to retrieve additional data. They are able to obtain results much faster than any human agent is. The study uses three computational vision APIs and evaluates their application in the identification of four plant leave diseases. Based on a corpus of fifty images, the API training was conducted in two stages, the first with thirty images and the second training with twenty more images. After the two trainings, the results of the diseases were collected for each API studied, which made it possible to evaluate the identification capacity and its evolution of learning after each training. The results corroborated the hypothesis. They gave evidence of the feasibility of identification of plant leaf diseases by means of computer vision APIs
Sistemas que utilizam APIs (Interfaces de Programação de Aplicação) de visão computacional têm a capacidade de aprender e identificar padrões, e assim realizar associações com outros resultados, sendo capaz de apresentar resultados mais rápidos do que uma pessoa. O trabalho identificou três APIs de visão computacional e avaliou sua aplicação na identificação de doenças em folhas de plantas, comparando os resultados de quatro diferentes doenças de plantas. Os treinamentos das APIs foram realizados em duas etapas, sendo o primeiro treinamento com uma quantidade de imagens e o segundo treinamento adicionando mais imagens. Após os dois treinamentos foram coletados os resultados das doenças para cada API estudada, sendo possível avaliar a capacidade de identificação e sua evolução de aprendizado após cada um dos treinamentos. Os resultados obtidos corroboram as expectativas, apontando para a viabilidade de identificação de doenças em folhas de plantas através de APIs de visão computacional
Xue, R. G. "The image processing for the target centre detection in digital image." Master's thesis, University of Cape Town, 1992. http://hdl.handle.net/11427/21834.
Full textSivard, Seth A. "Digital radiography in the education of radiologic technology students." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1409229904.
Full textTickhill, Justin D. "The virtual pig head digital imaging in cephalic anatomy /." Ohio : Ohio University, 2007. http://www.ohiolink.edu/etd/view.cgi?ohiou1187634238.
Full textOlson, J. A. "Digital imaging, leucocytes, gamma-linolenic acid and diabetic retinopathy." Thesis, University of Aberdeen, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.593242.
Full textZaharescu, Catalin A. "Wear-quantification of textured geomembranes using digital imaging analysis." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/36244.
Full textTickhill, Justin David. "The Virtual Pig Head: Digital Imaging in Cephalic Anatomy." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1187634238.
Full textChuirazzi, William C. "Combinatorial Optimization of Scintillator Screens for Digital Neutron Imaging." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586903047809812.
Full textMraz, Alex. "Evaluation of digital imaging systems used in highway applications." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000487.
Full textYafuso, Eiji 1963. "Digital acquisition system for high-speed 3-D imaging." Diss., The University of Arizona, 1997. http://hdl.handle.net/10150/288777.
Full textCherry, Shirley J. "Do Exposure Principles and ALARA Apply in Digital Imaging?" Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etsu-works/2480.
Full textLi, Jia, and 李佳. "Computational imaging technologies for optical lithography extension." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/206757.
Full textpublished_or_final_version
Electrical and Electronic Engineering
Doctoral
Doctor of Philosophy
Fu, Deng Yuan. "ADAPTIVE DIGITAL IMAGE DATA COMPRESSION BY RECURSIVE IDPCM." Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/275350.
Full textWang, Rong. "Digital Stero Imaging and Reconstruction of Flame Dynamics and Structure." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.508604.
Full textPhillips, Russell Picton. "Quantification of diabetic maculopathy by digital imaging of the retina." Thesis, University of Aberdeen, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359757.
Full textNguyen, Khoa Minh. "Key receiver circuits for digital beamforming in millimeter-wave imaging." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/64587.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 123-129).
Millimeter-wave (MMW) frequencies have wavelengths small enough to offer sufficient spatial resolution for certain imaging applications. Advances in silicon processes have developed devices that can operate at these frequencies, which has led to the potential for low cost MMW imaging, provided that the circuit design can meet the performance specifications for these applications. In this research, we investigate key components for an active phased array imaging system operating at 77GHz that performs purely digital beamforming. Each element in the phased array has an antenna and processor that measures the phase and amplitude of the received signal. The focus of this thesis is the quality of the phase measurement. Phase noise from the receiver's front-end circuits will degrade the spatial resolution and image integrity. The system requires a MMW phase-locked loop (PLL) to generate the local oscillator. The PLL is a significant contributor to phase noise. A MMW PLL was designed in a 0.13tm silicon-germanium BiCMOS technology for low phase noise and power consumption while maintaining enough output power to robustly drive a mixer load. Measurement results show a de-embedded single-ended output power of -2dBm, a phase noise of -8ldBc/Hz at 1MHz offset corresponding to ips of timing jitter at the carrier, and a total power dissipation of 107mW. A new technique called digital phase tightening reduces phase noise from receiver front-end circuits to allow precise phase estimation for digital beamforming. This technique leverages the large ratio between the MMW carrier frequency and the low frame rates in imaging applications. By mixing down to an intermediate frequency (IF) and then averaging over many samples, we reduce phase error caused by phase noise. A test chip demonstrating the phase tightening concept was designed and characterized. We show that we can reduce RMS error from 450ps to 1.4ps at a 175MHz IF which corresponds to reducing ips of jitter to 3fs at a 77GHz carrier.
by Khoa Minh Nguyen.
Ph.D.
Konstantinidis, A. "Evaluation of digital X-ray detectors for medical imaging applications." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1322919/.
Full textMacIntosh, Michael J. "A CCD based camera for digital imaging of the nightglow." Thesis, University of Aberdeen, 1986. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU366584.
Full textXu, Chen. "Low voltage CMOS digital imaging architecture with device scaling considerations /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202004%20XU.
Full textIncludes bibliographical references (leaves 131-136). Also available in electronic version. Access restricted to campus users.
Campbell, Sydney. "Experiences of analogue-trained radiographers utilising digital imaging in projection radiography." Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/14796.
Full textSechopoulos, Ioannis. "Investigation of physical processes in digital x-ray tomosynthesis imaging of the breast." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22589.
Full textTeo, Chek Koon. "Digital enhancement of night vision and thermal images." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FTeo%5FChek.pdf.
Full textThesis advisor(s): Monique P. Fargues, Alfred W. Cooper. Includes bibliographical references (p. 75-76). Also available online.
Ekestorm, Stig R. T. "An all-digital image synthesizer for countering high-resolution imaging radars." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA381835.
Full textOffiah, Amaka. "Optimisation of the digital radiographic imaging of suspected non-accidental injury." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1444875/.
Full text