Дисертації з теми "Image processing programs"
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Darbhamulla, Lalitha. "A Java image editor and enhancer." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2705.
Повний текст джерелаChen, Dan Chary. "Pathological image processing and geometric modelling for improved management of colorectal cancer." Thesis, University of Oxford, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711813.
Повний текст джерелаPei, Mo Mo. "Modeling the performance of many-core programs on GPUs with advanced features." Thesis, University of Macau, 2012. http://umaclib3.umac.mo/record=b2592954.
Повний текст джерелаTeng, Shyh Wei 1973. "Image indexing and retrieval based on vector quantization." Monash University, Gippsland School of Computing and Information Technology, 2003. http://arrow.monash.edu.au/hdl/1959.1/5764.
Повний текст джерелаSchaefer, Charles Robert. "Magnification of bit map images with intelligent smoothing of edges." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9950.
Повний текст джерелаKirkpatrick, Michael Gorden. "Optical character recognition : an approach using self- adjusting segmentation of a matrix." Virtual Press, 1997. http://liblink.bsu.edu/uhtbin/catkey/1048390.
Повний текст джерелаDepartment of Computer Science
Hobson, Adrian Surveying & Spatial Information Systems Faculty of Engineering UNSW. "Digital plan lodgement and dissemination." Awarded by:University of New South Wales. School of Surveying and Spatial Information Systems, 2004. http://handle.unsw.edu.au/1959.4/24231.
Повний текст джерелаSullivan, Kevin Michael. "An image delta compression tool: IDelta." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2543.
Повний текст джерелаKim, Jongwoo. "A robust hough transform based on validity /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9842545.
Повний текст джерелаKing, Kraig. "Linking Moving Object Databases with Ontologies." Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/KingK2007.pdf.
Повний текст джерелаChenini, Hanen. "A rapid design methodology for generating of parallel image processing applications and parallel architectures for smart camera." Thesis, Clermont-Ferrand 2, 2014. http://www.theses.fr/2014CLF22459.
Повний текст джерелаDue to the complexity of image processing algorithms and the restrictions imposed by MPSoC designs to reach their full potentials, automatic design methodologies are needed to provide guidance for the programmer to generate efficient parallel programs. In this dissertation, we present a MPSoC-based design methodology solution supporting automatic design space exploration, automatic performance evaluation, as well as automatic hardware/software system generation. To facilitate the parallel programming, the presented MPSoC approach is based on a CubeGen framework that permits the expression of different scenarios for architecture and algorithmic design exploring to reach the desired level of performance, resulting in short time development. The generated design could be implemented in a FPGA technology with an expected improvement in application performance and power consumption. Starting from the application, we have evolved our effective methodology to provide several parameterizable algorithmic skeletons in the face of varying application characteristics to exploit all types of parallelism of the real algorithms. Implementing such applications on our parallel embedded system shows that our advanced methods achieve increased efficiency with respect to the computational and communication requirements. The experimental results demonstrate that the designed multiprocessing architecture can be programmed efficiently and also can have an equivalent performance to a more powerful designs based hard-core processors and better than traditional ASIC solutions which are too slow and too expensive
Dannenberg, Matthew. "Pattern Recognition in High-Dimensional Data." Scholarship @ Claremont, 2016. https://scholarship.claremont.edu/hmc_theses/76.
Повний текст джерелаBurger, Joseph. "Real-time engagement area dvelopment program (READ-Pro)." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FBurger.pdf.
Повний текст джерелаDeVaul, Richard W. (Richard Wayne) 1971. "Emergent design and image processing : a case study." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/61107.
Повний текст джерелаIncludes bibliographical references (p. 97-99).
The digital revolution which has changed so many other aspects of modem life has yet to profoundly affect the working process of visual artists and designers. High-quality digital design tools exist, but they provide the user with an improved traditional design process, not a radically new way of designing. Conventional digital design tools are useful, but when design software emulates a paintbrush or photostudio many powerful possibilities of the computational medium are overlooked. This thesis explores emergent design, a design methodology based on a new process, enhanced interactive genetic programming. The emergent design methodology and tools allow designers to effectively create procedural design solutions (design solutions that take the form of a procedure or program) in a way that requires little or no programming on the part of the designer. The use of preliminary fitness functions in the interactive genetic programming process allows the designer to specify heuristics to guide the search and manage the complexity of the interactive genetic programming task. This document is structured in the form of a case study, in which the enhanced genetic programming process and emergent design methodology are described through their application to the specific problem of developing procedural image filters for still and moving images. Two interactive genetic programming systems for image filter evolution are described, GPI and evolution++, along with the Sol programming language that was used to create them. Results from the implementation and use of GPI and evolution++ are presented, including a number of filtered images and image sequences. These results suggest that fitness-agent enhanced interactive genetic programming and the emergent design methodology may play a useful role in the visual design process, allowing designers to explore a wider range of options with greater ease than is possible through a traditional, procedural, or conventional genetic programming design process.
Richard W. DeVaul.
S.M.
Avern, Geoffrey J. "High-resolution computer imaging in 2D and 3D for recording and interpreting archaeological excavations =: Le rôle de l'image numérique bidimensionelle et tridimensionelle de haute résolution dans l'enregistrement et l'interprétation des données archéologiques." Doctoral thesis, Universite Libre de Bruxelles, 2000. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211692.
Повний текст джерелаVoils, Danny. "Scale Invariant Object Recognition Using Cortical Computational Models and a Robotic Platform." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/632.
Повний текст джерелаBergström, Joel. "Disparity Tool : A disparity estimaion program." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-12362.
Повний текст джерелаGaddam, Purna Chandra Srinivas Kumar, and Prathik Sunkara. "Advanced Image Processing Using Histogram Equalization and Android Application Implementation." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13735.
Повний текст джерелаRimmasch, Kathryn. "A Process-Based CALL Assessment: A Comparison of Input Processing and Program Use Behavior by Activity Type." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2220.pdf.
Повний текст джерелаHariharan, Sriram. "Image retrieval by spatial similarity a Java - based prototye." Ohio : Ohio University, 1998. http://www.ohiolink.edu/etd/view.cgi?ohiou1176496040.
Повний текст джерелаGambarato, Renato Luiz 1980. "Desenvolvimento de um programa computacional para classificação do uso da terra em imagens CBERS 2 /." Botucatu : [s.n.], 2008. http://hdl.handle.net/11449/90643.
Повний текст джерелаBanca: Zacarias Xavier de Barros
Banca: Osmar Delmanto Junior
Resumo: Entre as diversas áreas de estudo reunidas sob o denominador comum de processamento digital de imagens, encontra-se a área conhecida como análise de imagens. Este campo de estudos visa ao desenvolvimento de técnicas que permitam extrair informações das imagens, possibilitando às pessoas e aos equipamentos maior poder de análise, resultando em maior suporte às decisões. Neste processo, uma etapa importante é a de segmentação que se refere à divisão da imagem em diversas partes elementares, permitindo a análise destas isoladamente. Este é um processo complexo porque tenta traduzir para o computador um processo cognitivo extremamente sofisticado realizado através da visão humana que realiza agrupamentos baseados na proximidade, similaridade e continuidade das imagens captadas. Tais agrupamentos são utilizados na classificação e análise semântica dos objetos percebidos. Atualmente, o processamento de imagens de satélite é uma ferramenta importante e eficaz no planejamento agrícola e no monitoramento ambiental. Fazendo uso de imagens de satélite e de técnicas de processamento de imagens, o profissional pode analizar a área de interesse e realizar um planejamento prévio sem a necessidade de uma visita ao local. As técnicas de segmentação dividem a imagem em partes homogêneas, identificando, assim, as áreas de cultivo, as áreas de mata, rios e lagos, facilitando o processo de identificação de áreas de interesse do profissional. Diante deste contexto, o presente trabalho visou facilitar a detecção de áreas de cultivo de eucalipto através do desenvolvimento do programa SmartClass, que realiza a composição de imagens, a partir das bandas espectrais isoladas coletadas pelos satélites imageadores, e o processamento para este fim, sendo que as etapas do processamento são realizadas de forma automática. A detecção das áreas de cultivo de eucalipto foi... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: Among the various fields of study grouped under the common denominator of digital image processing, is the area known as analysis of images. This field of study aims to develop techniques that allow extracting information from images, enabling the people and equipment increased power of analysis, resulting in greater support for the decisions. In the process, an important step is to target regard to the division of the image in various parts elementary, allowing the analysis of isolation. This is a complex process because the computer tries to translate to an extremely sophisticated cognitive process through the vision that conducts human groupings based on proximity, similarity and continuity of images. Such groupings are used in the classification and semantic analysis of the objects perceived. Currently, the processing of satellite imagery is an important and effective tool in agricultural planning and environmental monitoring. Making use of satellite imagery and techniques of image processing, the operator can analyze the area of interest and conduct a preliminary planning without the need for a site visit. The techniques of image segmentation divided into parts homogeneous, identifying thus the areas under cultivation, the areas of forest, rivers and lakes, facilitating the process of identifying areas of interest to the profession. In this context, the present study to facilitate the detection of areas of cultivation of eucalyptus by developing the SmartClass program, which makes the composition of images, from the individual spectral bands collected by satellite images, and processing for this purpose, with the processing stages are performed automatically. The detection of areas of cultivation of eucalyptus has been successful and the program proved to be easy to use.
Mestre
Gupta, Davender Nath. "Expressing imaging algorithms using a C++ based image algebra programming environment /." Online version of thesis, 1990. http://hdl.handle.net/1850/11370.
Повний текст джерелаGambarato, Renato Luiz [UNESP]. "Desenvolvimento de um programa computacional para classificação do uso da terra em imagens CBERS 2." Universidade Estadual Paulista (UNESP), 2008. http://hdl.handle.net/11449/90643.
Повний текст джерелаEntre as diversas áreas de estudo reunidas sob o denominador comum de processamento digital de imagens, encontra-se a área conhecida como análise de imagens. Este campo de estudos visa ao desenvolvimento de técnicas que permitam extrair informações das imagens, possibilitando às pessoas e aos equipamentos maior poder de análise, resultando em maior suporte às decisões. Neste processo, uma etapa importante é a de segmentação que se refere à divisão da imagem em diversas partes elementares, permitindo a análise destas isoladamente. Este é um processo complexo porque tenta traduzir para o computador um processo cognitivo extremamente sofisticado realizado através da visão humana que realiza agrupamentos baseados na proximidade, similaridade e continuidade das imagens captadas. Tais agrupamentos são utilizados na classificação e análise semântica dos objetos percebidos. Atualmente, o processamento de imagens de satélite é uma ferramenta importante e eficaz no planejamento agrícola e no monitoramento ambiental. Fazendo uso de imagens de satélite e de técnicas de processamento de imagens, o profissional pode analizar a área de interesse e realizar um planejamento prévio sem a necessidade de uma visita ao local. As técnicas de segmentação dividem a imagem em partes homogêneas, identificando, assim, as áreas de cultivo, as áreas de mata, rios e lagos, facilitando o processo de identificação de áreas de interesse do profissional. Diante deste contexto, o presente trabalho visou facilitar a detecção de áreas de cultivo de eucalipto através do desenvolvimento do programa SmartClass, que realiza a composição de imagens, a partir das bandas espectrais isoladas coletadas pelos satélites imageadores, e o processamento para este fim, sendo que as etapas do processamento são realizadas de forma automática. A detecção das áreas de cultivo de eucalipto foi...
Among the various fields of study grouped under the common denominator of digital image processing, is the area known as analysis of images. This field of study aims to develop techniques that allow extracting information from images, enabling the people and equipment increased power of analysis, resulting in greater support for the decisions. In the process, an important step is to target regard to the division of the image in various parts elementary, allowing the analysis of isolation. This is a complex process because the computer tries to translate to an extremely sophisticated cognitive process through the vision that conducts human groupings based on proximity, similarity and continuity of images. Such groupings are used in the classification and semantic analysis of the objects perceived. Currently, the processing of satellite imagery is an important and effective tool in agricultural planning and environmental monitoring. Making use of satellite imagery and techniques of image processing, the operator can analyze the area of interest and conduct a preliminary planning without the need for a site visit. The techniques of image segmentation divided into parts homogeneous, identifying thus the areas under cultivation, the areas of forest, rivers and lakes, facilitating the process of identifying areas of interest to the profession. In this context, the present study to facilitate the detection of areas of cultivation of eucalyptus by developing the SmartClass program, which makes the composition of images, from the individual spectral bands collected by satellite images, and processing for this purpose, with the processing stages are performed automatically. The detection of areas of cultivation of eucalyptus has been successful and the program proved to be easy to use.
Oliveira, Victor Matheus de Araujo 1988. "Uma coleção de estudos de caso sobre o uso da linguagem Halide de domínio-específico em processamento de imagens e arquiteturas paralelas." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259825.
Повний текст джерелаDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
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Resumo: Um novo desenvolvimento no campo de Linguagens de Domínio-Específico são linguagens de programação que podem funcionar tanto em CPUs multi-núcleo quanto em GPUs. Nesta dissertação, avaliamos Halide, uma Linguagem de Domínio Específico (DSL) para processamento de imagens. Halide funciona tanto em CPUs como em GPUs e almeja ser uma forma mais simples e eficiente, em termos de desempenho, de expressar algoritmos da área do que as alternativas tradicionais. Para mostrar o potencial e as limitações da linguagem Halide, fazemos nesta dissertação alguns estudos de caso com algoritmos que acreditamos ser bons exemplos de categorias-chave em Processamento de Imagens, especialmente em manipulação e edição de Imagens. Comparamos o desempenho e simplicidade de implementação desses problemas com implementações em C++ usando \emph{threads} e vetorização, para arquiteturas CPU multi-núcleo, e OpenCL, para CPUs e GPUs. Mostramos que há problemas na implementação atual de Halide e que alguns tipos de algoritmos da área não podem ser bem expressos na linguagem, o que limita a sua aplicabilidade prática. Entretanto, onde isso é possível, Halide tem performance similar à implementações em OpenCL, onde vemos que há de fato ganho em termos de produtividade do programador. Halide é, portanto, apropriado para um grande conjunto de algoritmos usados em imagens e é um passo na direção certa para um modo de desenvolvimento mais fácil para aplicações de alto desempenho na área
Abstract: A development in the field of Domain-Specific Languages (DSL) are programming languages that can target both Multi-Core CPUs and accelerators like GPUs. We use Halide, a Domain-Specific Language that is suited for Image Processing tasks and that claims to be a more simple and efficient (performance-wise) way of expressing imaging algorithms than traditional alternatives. In order to show both potential and limitations of the Halide language, we do several case studies with algorithms we believe are representatives of key categories in today's Image Processing, specially in the area of Image Manipulation and Editing. We compare performance and simplicity of Halide implementations with multi-threaded C++ (for multi-core architectures) and OpenCL (for CPU and GPUs). We show that there are problems in the current implementation of the DSL and that many imaging algorithms cannot be efficiently expressed in the language, which limits its practical application; Nevertheless, in the cases where it is possible, Halide has similar performance to OpenCL and is much more simple to develop for. So we find that Halide is appropriate for a big class of image manipulation algorithms and is a step in the right direction for an easier way to use GPUs in imaging applications
Mestrado
Engenharia de Computação
Mestre em Engenharia Elétrica
Kiang, Kai-Ming Mechanical & Manufacturing Engineering Faculty of Engineering UNSW. "Natural feature extraction as a front end for simultaneous localization and mapping." Awarded by:University of New South Wales. School of Mechanical and Manufacturing Engineering, 2006. http://handle.unsw.edu.au/1959.4/26960.
Повний текст джерелаGAJJELA, VENKATA SARATH, and SURYA DEEPTHI DUPATI. "Mobile Application Development with Image Applications Using Xamarin." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15838.
Повний текст джерелаKimura, João Paulo Eiti. "Programas para geração de imagens por ultra-som e formação de feixe acústico." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/258948.
Повний текст джерелаDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
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Resumo: O diagnóstico médico por ultra-som vem sendo amplamente difundido, tornando se referência em muitos exames clínicos. Por meio das imagens por ultra-som é possível representar a anatomia de tecidos e órgãos de forma não-invasiva, em "tempo real" e sem a utilização de radiação ionizante. A construção de equipamentos de geração de imagens por ultra-som exige um conjunto confiável de circuitos e componentes eletrônicos, de forma a excitar os transdutores ultra-sônicos e também receber os sinais refletidos de forma rápida e robusta. Entretanto, há também a necessidade da utilização de softwares capazes de processar os sinais ultra-sônicos e gerar as imagens de maneira eficiente. Esse trabalho teve como objetivo primário o desenvolvimento de um software código aberto para formação de imagens por ultra-som, empregando técnicas de formação de imagem por ultra-som em "tempo real". O feixe acústico produzido pelos transdutores matriciais do tipo array pode ser defletido e/ou focalizado pela ativação eletrônica dos elementos do transdutor. Dessa forma, como objetivo secundário, foram desenvolvidos circuitos digitais que geram os estímulos com as seqüências de ativação dos elementos transdutores, para que o feixe acústico seja defletido ou focalizado em uma dada distância ou ângulo a partir da face do transdutor matricial. Os circuitos digitais foram criados utilizando FPGA's. O software de geração de imagens bidimensionais por ultra-som, batizado de ImageB, foi desenvolvido em linguagem C++ com Qt Toolkit 4, com estrutura modular, pode ser estendido por meio de plug-ins além de ser multiplataforma e de licença livre. Além dos algoritmos clássicos para conversão do sinal de RF para imagem em escala de cinza, o software incorpora também as técnicas de abertura e focalização sintética (SAFT e SF). O software e o hardware desenvolvidos nesse trabalho foram testados com um transdutor matricial linear de doze elementos, com freqüência central de ressonância de 1MHz. Foi possível observar que os circuitos foram capazes de defletir e focalizar o feixe acústico e o software ImageB foi capaz de gerar imagens dinâmicas de uma estrutura conhecida (phantom de laboratório), trabalhando de forma paralela e integrada com o hardware desenvolvido
Abstract: The ultrasound medical diagnosis has been widely used, becoming a reference in many clinical procedures. Ultrasound imaging makes it possible to represent the anatomy of organs and tissues in a non-invasive, real time way and without using ionizing radiation. The construction of ultrasound imaging systems requires a set of reliable circuits and electronic components, for exciting the ultrasonic transducers and receiving the reflected signals in a fast and robust way. However, one has to use software capable to efficiently process the received ultrasound signals and generate images. This work, as primary objective, aimed at the development of an open-source software for ultrasound image formation, employing techniques for real time ultrasound image formation. The acoustic beam produced by array transducers can be steered and/or focused by electronic activation of the elements of the transducer. As secondary objectives, digital circuits were developed to generate the sequence of activation of the transducer elements in order to steer and focus the acoustic beam electronically over the region of interest at a given distance or angle from the face of the transducer array. These digital circuits were created using FPGA's. The software to generate two-dimensional ultrasound images, ImageB, was developed in C++ with Qt Toolkit 4, has been designed in a modular form, can be extended via plug-ins and is multiplatform and freeware. Besides the traditional algorithms for conversion of the RF signal to grayscale image, the software also incorporates the techniques of aperture and synthetic focus (SAFT and SF). The hardware and software developed in this work were tested using a 1 MHz 12-element array transducer. It was possible to notice that the circuits were capable to steer and focus the acoustic beam and the software ImageB was capable to generate dynamic ultrasound images of a known structure (laboratory phantom), working with the developed hardware in an integrated and parallel way
Mestrado
Engenharia Biomedica
Mestre em Engenharia Elétrica
Kaeli, Jeffrey W. "Computational strategies for understanding underwater optical image datasets." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/85539.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 117-135).
A fundamental problem in autonomous underwater robotics is the high latency between the capture of image data and the time at which operators are able to gain a visual understanding of the survey environment. Typical missions can generate imagery at rates hundreds of times greater than highly compressed images can be transmitted acoustically, delaying that understanding until after the vehicle has been recovered and the data analyzed. While automated classification algorithms can lessen the burden on human annotators after a mission, most are too computationally expensive or lack the robustness to run in situ on a vehicle. Fast algorithms designed for mission-time performance could lessen the latency of understanding by producing low-bandwidth semantic maps of the survey area that can then be telemetered back to operators during a mission. This thesis presents a lightweight framework for processing imagery in real time aboard a robotic vehicle. We begin with a review of pre-processing techniques for correcting illumination and attenuation artifacts in underwater images, presenting our own approach based on multi-sensor fusion and a strong physical model. Next, we construct a novel image pyramid structure that can reduce the complexity necessary to compute features across multiple scales by an order of magnitude and recommend features which are fast to compute and invariant to underwater artifacts. Finally, we implement our framework on real underwater datasets and demonstrate how it can be used to select summary images for the purpose of creating low-bandwidth semantic maps capable of being transmitted acoustically.
by Jeffrey W. Kaeli.
Ph. D. in Mechanical and Oceanographic Engineering
Jerbi, Khaled. "Synthèse Matérielle Haut Niveau des Programmes Flot de Donnée RVC." Phd thesis, INSA de Rennes, 2012. http://tel.archives-ouvertes.fr/tel-00827163.
Повний текст джерелаMatějka, Lukáš. "Obslužný program pro colony-picking robot." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219703.
Повний текст джерелаWipliez, Matthieu. "Infrastructure de compilation pour des programmes flux de données." Phd thesis, INSA de Rennes, 2010. http://tel.archives-ouvertes.fr/tel-00598914.
Повний текст джерелаJoão, Renato Stoffalette. "Projeto de operadores de imagens binárias usando combinação de classificadores." reponame:Repositório Institucional da UFABC, 2014.
Знайти повний текст джерелаDissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Ciência da Computação, 2014.
Uma tarefa recorrente em Processamento Digital de Imagens é o projeto de um operador que mapeie uma ou mais imagens de entrada em uma imagem resultante. Muitas vezes, o projeto de um operador específico exige um dispendioso processo de tentativa e erro, podendo resultar em um operador sub-ótimo para a tarefa em questão Diversos métodos já foram propostos para automatizar o projeto de operadores utilizando aprendizado de máquina. No cenário mais comum, o projeto de operadores parte de um conjunto de treinamento formado por pares de imagens (entrada, saída), em que as imagens de entrada correspondem as imagens originais inicialmente observadas e as imagens de saída correspondem ao produto ideal do processamento. Para obter um operador que realiza o mapeamento entre a entrada e saída, é necessário que seja realizado um procedimento de aprendizado de máquina supervisionado. Neste projeto, será investigado o projeto automático de operadores utilizando uma representação de operadores de janela (W-operadores), os quais utilizam um subconjunto local dos pixels da imagem, determinado por uma janela. Uma questão de suma importância relacionada a essa representação envolve a escolha eficiente das janelas. Baseando-se em trabalhos anteriores, adotamos o uso de combinação de operadores e seleção de características para obter um melhor desempenho. Nossa contribuição consiste em uma nova técnica para determinar as janelas de um conjunto de operadores, que são em seguida combinados para criar um operador. Nosso procedimento é inspirado pela técnica AdaBoost para combinação de classificadores e tem como objetivo determinar iterativamente uma janela que minimize o erro do operador final a cada passo da iteração. Neste trabalho, propomos a implementação do método descrito e sua comparação com técnicas anteriores de projeto de operadores, utilizando conjuntos de dados públicos em algumas tarefas de processamento de imagens.
A recurring task in Digital Image Processing is the project of an operator that maps one or more images input in a resulting image. Often, the design of a specic operator requires a expensive process of trial and error and may result in a sub-optimal operator. Several methods have been proposed to automate the design of operators using Machine Learning. In the most common scenario, the project starts from a training set formed by pairs of images (input, output), in which output images represent what would be the ideal product of the processing. Some supervised learning procedure is then used, resulting in an operator who performs input-output mapping. In this project, we will investigate the automatic design representation of operators using a window (W-operators), which use a local image subset of pixels, determined by a window. An issue related to this representation involves choosing ecient windows. Based on previous work, we adopt the use of ensembles to achieve better performance. Our contribution consists of a new technique for determining the windows of a set of operators which are then combined to create a nal operator. Our procedure is inspired by the AdaBoost technique for combining classiers and aims to iteratively determine a window that minimizes the operator error at the end of each iteration step. In this project, we propose the implementation of the described method and its comparison with prior project operators from the state of the art, using public data sets in some image processing tasks.
Bruce, Elizabeth J. (Elizabeth Jane) 1972. "The characterization of particle clouds using optical imaging techniques." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/58860.
Повний текст джерелаIncludes bibliographical references (leaves 70-71).
Optical imaging techniques can be used to provide a better understanding of the physical properties of particle clouds. The purpose of this thesis is to design, perform and evaluate a set of experiments using optical imaging techniques to characterize parameters such as shape factor and entrainment coefficient which govern the initial descent phase of particle clouds in water. Several different aspects of optical imaging are considered and evaluated such as the illumination, camera, and data acquisition components. A description of the experimental layout and procedure are presented along with a description of the image processing techniques used to analyze the data collected. Results are presented from a set of experiments conducted with particle sizes ranging from 250 to 980um. A shape factor is used to demonstrate how the cloud's shape changes from approximately spherical to approximately hemispherical over depth. The entrainment coefficient is shown to vary both as a function of depth and particle size diameter. The experimental cloud velocity is compared to the output of a simplified version of the model, STFATE, used to simulate the short term fate of dredged materials in water. This analysis provides a method of evaluating the experimental results and examining the feasibility of using the experimental data to refine the input parameters to the model.
by Elizabeth J. Bruce.
M.Eng.
Rodrigues, Davi Silva. "TAIGA: uma abordagem para geração de dados de teste por meio de algoritmo genético para programas de processamento de imagens." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-21122017-180309/.
Повний текст джерелаThe massive presence of information systems in our lives has been increasing the importance of software test activities. Image Processing (IP) programs have very complex input domains and, therefore, the traditional testing for this kind of program is a highly costly and vulnerable to errors task. In traditional testing, usually, testers create images by themselves or they execute random selection from images databases, which can make it harder to reveal faults in the software under test. In this context, a systematic mapping study was conducted and a gap was identified concerning the automated test data generation in the images domain. Thus, an approach for generating test data for IP programs by means of genetic algorithms was proposed: TAIGA - Test imAge generatIon by Genetic Algorithm. This approach adapts traditional genetic operators (mutation and crossover) to the images domain and replaces the fitness function by the evaluation of the results of mutation testing. The proposed approach was validated by the execution of experiments involving eight distinct IP programs. TAIGA was able to provide up to 38.61% increase in mutation score when compared to the traditional testing for IP programs. It\'s expected that the automation of test data generation elevates the quality of image processing systems development and reduces the costs of software test activities in the images domain
末永, 康仁. "「社会情報基盤のための音声・映像の知的統合」の概要". INTELLIGENT MEDIA INTEGRATION NAGOYA UNIVERSITY / COE, 2003. http://hdl.handle.net/2237/10448.
Повний текст джерелаBarbosa, David Pereira. "Classificação supervisionada da cobertura do solo : uma abordagem aplicada em imagens de sensoriamento remoto." reponame:Repositório Institucional da UFABC, 2016.
Знайти повний текст джерелаDissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Ciência da Computação, 2016.
A classificação supervisionada consiste em utilizar uma base de dados rotulada para avaliar o desempenho de um determinado classifcador. Mensurando tal desempenho, podemos inferir se, para o problema abordado, tal classifcador poderá ser empregado ou não. Métodos classicos de classificação utilizam um unico classifcador para a analise de um problema. Uma forma de melhorar o desempenho da classificação é empregar técnicas que misturam classifcadores, sejam com base em seus resultados ou nas caracteristicas intrinsecas que cada classicador possui. Neste trabalho, foram empregados os métodos Votação e Adaboost para combinar classifcadores e utilizando base de dados rotuladas provenientes de imagens satelitais extraídas da regi~ao da Amazonia Legal para classificar a cobertura do solo. Resultados obtidos mostraram que o algoritmo SVM por si so consegue resultados de classificação em torno dos 90% em casos gerais. Para casos especifios, a empregabilidade do Adaboost resultou em um acrescimo de, aproximadamente, 10% na taxa de acurácia para um tipo de classe em comparação o com o melhor resultado dos métodos tradicionais.
Supervised classification is based on using a labeled database to evaluate a given classifer's performance. Measuring such performance, it is possible to infer if, for the problem addressed, such a classifer can be employed or not. Classical classification methods use a single classier to analyze a problem. One way to improve classifcation's performance is to employ techniques that mix classifers, based on their results or by each classifer's intrinsic characteristics. In this paper, the methods Voting and Adaboost were used to combine classifers and using labeled data bases from satellite's images extracted from the Legal Amazon region to classify the soil cover. Results obtained showed that the SVM algorithm alone achieves classifcation results around 90 % in general cases. For specific cases, the employability of Adaboost resulted in an increase of approximately 10 % in the accuracy rate for a class type compared to the best result of the traditional methods.
Ferreira, Leticia Alves. "Uma aplicação stand-alone multiplataforma para a quantificação semi-automatica da perfusão miocardica em imagens de ecocardiografia com contraste." [s.n.], 2008. http://repositorio.unicamp.br/jspui/handle/REPOSIP/258946.
Повний текст джерелаDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação
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Resumo: Os scanners ultra-sônicos atuais oferecem ferramentas específicas para estudos de Ecocardiografia do Miocárdio por Contraste de Microbolhas (ECM) e apesar do potencial comprovado para a análise quantitativa não invasiva da perfusão miocárdica, seu uso se restringe praticamente à interpretação qualitativa (visual) das imagens clínicas. O objetivo desta tese foi desenvolver e criar uma aplicação stand-alone multiplataforma baseada nos algoritmos criados por Lopes (2005) e implementados em seu protótipo MCEToolRS. A aplicação proposta, denominada JMCETool, tem como principais características ser de fácil utilização e não comprometer a precisão, exatidão e robustez nos processos que envolvem a quantificação da perfusão miocárdica. Assim como no protótipo desenvolvido, os principais algoritmos do processo de quantificação são: o alinhamento automático baseado em Template Matching, técnicas de busca rápida e correlação; a colocação automática das ROIS sobre a parede do miocárdio; e a quantificação da perfusão miocárdica. Entre as diferenças do protótipo desenvolvido em Matlab® e da aplicação desenvolvida em Java, destacam-se a criação de uma interface mais amigável ao usuário, a implantação de uma arquitetura de software, melhor tratamento de exceções e uma nova forma de correção manual do alinhamento das imagens. A aplicação foi testada com 15 seqüências de ECM (288 imagens), sendo 14 seqüências provenientes de estudos com animais e uma proveniente de estudos com humanos. Os resultados obtidos são comparáveis aos obtidos por Lopes (2005), testes quantitativos demonstraram precisão média no processo de alinhamento de 1 pixel (para translação) e 1 grau (para rotação), com exatidão aproximada de ± 1 pixel e de ± 1 grau.
Abstract: Current commercial ultrasound scanners incorporate tools for Myocardial Contrast Echocardiography (MCE) and techniques which have a great potential for non-invasive quantitative myocardial perfusion analysis, although its use is practically restricted to qualitative (visual) reading of clinical data. The objective of this thesis was to create a new easy-to-use multiplatform standalone application for quantification of myocardium perfusion in a MCE sequence of images based on the algorithms developed by Lopes (2005) and their implementation, the prototype, called MCEToolRS. The main objective of the proposed application, called JMCETool, is the execution of these algorithms with no loss of precision, accuracy and robustness of the quantification process, compared to the first prototype. The main algorithms of the quantification process are: the automatic alignment, based on Template Matching, fast search algorithms and correlation; the automatic ROI's placement over the myocardium wall; and the quantification of myocardium perfusion. Among other features, compared to the prototype, the application JMCETool handles the algorithms exceptions and has a more user-friendly interface, including changes in the interface for manual alignment. Fifteen MCE sequences (288 images) were used during the application trials. Fourteen out of fifteen sequences belong to studies with animals (dogs) and only one belongs to studies with humans. Performance tests demonstrated that our results were similar to those of Lopes (2005), Quantitative tests have shown mean precision of 1 pixel (translation) and 1 degree (rotation) in the alignment process, and accuracy around ± 1 pixel and ± 1 degree.
Mestrado
Engenharia Biomedica
Mestre em Engenharia Elétrica
Malmgren, Henrik. "Revision of an artificial neural network enabling industrial sorting." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392690.
Повний текст джерелаMittner, Ondřej. "Určování velikosti plochy a rozměrů vybraných objektů v obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218637.
Повний текст джерелаFerreira, Breno Mendes. "Modelagem e implementação de um sistema de processamento digital de sinais baseado em FPGA para geração de imagens por ultrassom usando Simulink." Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2874.
Повний текст джерелаUltrasound (US) is a well-established technique that has been widely used for testing, characterizing and visualizing internal structures of biological and non-biological material. The US research group of the Federal University of Technology - Paraná developed the ULTRA-ORS system, which, although suitable for research related to multichannel excitation and reception, uses a large computing time, due to the personal computer processing. This research presents the modeling, implementation and validation of a digital processing system of signals based on a FPGA (Field-Programmable Gate Array) device of high performance for the reconstruction of images through US, using the beamforming technique. The software Simulink and the tool DSP Builder were used for simulation and transformation of the following models in hardware description language: digital filter FIR (Finite Impulse Response), CIC (Cascaded Integrator-Comb) Interpolation filter, variable delay, apodization, coherent summation, decimation, demodulation with envelope detection and logarithmic compression. After the Simulink validation, the design was synthesized for a Stratix IV FPGA and implemented on the Terasic DE4-230 board. The tool SignalTap II in the software Quartus II was used to acquire the processed signals from the FPGA. For the graphic and quantitative evaluation of the accuracy of this method, we used real raw US data, acquired from the ULTRA-ORS with sampling frequency of 40 MHz and 12-bit resolution, and the normalized root mean squared error (NRMSE) in comparison with the same functions implemented through scripts in Matlab. As a main result of the modeling, in addition to the individual responses of each implemented block, comparisons between the reconstructed images by ULTRA-ORS and FPGA processing for four apodization windows are presented. The excellent agreement between the simulated and experimental results with NRMSE values lower than 6.2% and total processing latency of 0.83 µs corroborates the simplicity, modularity and effectiveness of the proposed modeling for use in US signal processing research for real-time image reconstruction.
Khan, Muhammad Javed Iqbal. "Attention modulated associative computing and content-associative search in image archive." Thesis, 1995. http://hdl.handle.net/10125/9755.
Повний текст джерела"GL4D: a GPU-based architecture for interactive 4D visualization." 2011. http://library.cuhk.edu.hk/record=b5896690.
Повний текст джерела"October 2010."
Thesis (M.Phil.)--Chinese University of Hong Kong, 2011.
Includes bibliographical references (leaves 74-80).
Abstracts in English and Chinese.
Chapter 1 --- Introduction --- p.2
Chapter 1.1 --- Motivation --- p.3
Chapter 2 --- Background --- p.4
Chapter 2.1 --- OpenGL and OpenGL Shading Language --- p.4
Chapter 2.2 --- 4D Visualization --- p.6
Chapter 2.2.1 --- 3-manifold as Surface for 4D Objects --- p.7
Chapter 2.2.2 --- Visualizing 4D Objects in Euclidean 3-space --- p.8
Chapter 2.2.3 --- The 4D Rendering Pipeline --- p.9
Chapter 3 --- Related Work --- p.11
Chapter 3.1 --- General Purpose Processing on Graphics Processing Units --- p.11
Chapter 3.2 --- Volume Rendering --- p.12
Chapter 3.2.1 --- Indirect Volume Rendering --- p.13
Chapter 3.2.2 --- Direct Volume Rendering on Structured Grid --- p.13
Chapter 3.2.3 --- Direct Volume Rendering on Unstructured Grid --- p.18
Chapter 3.2.4 --- Acceleration of DVR --- p.19
Chapter 3.3 --- 4D Visualization --- p.22
Chapter 4 --- GL4D: Hardware Accelerated Interactive 4D Visualization --- p.26
Chapter 4.1 --- Preprocessing: Prom Equations to Tetrahedral Mesh --- p.28
Chapter 4.2 --- Core Rendering Pipeline: OpenGL for 4D Rendering --- p.29
Chapter 4.2.1 --- Vertex Data Upload --- p.30
Chapter 4.2.2 --- Slice-based Multi-pass Tetrahedral Mesh Rendering --- p.30
Chapter 4.2.3 --- Back-to-front Composition --- p.38
Chapter 4.3 --- Advanced Visualization Features in GL4D --- p.38
Chapter 4.3.1 --- Stereoscopic Rendering --- p.39
Chapter 4.3.2 --- False Intersection Detection --- p.40
Chapter 4.3.3 --- Transparent 4D Objects Rendering --- p.42
Chapter 4.3.4 --- Optimization --- p.44
Chapter 5 --- Results --- p.48
Chapter 5.1 --- Data Sets --- p.48
Chapter 5.1.1 --- 3-manifolds in E4´ؤM3 4 --- p.49
Chapter 5.1.2 --- 2-manifolds in E4´ؤM2 4 --- p.50
Chapter 5.2 --- Performance --- p.69
Chapter 6 --- Conclusion --- p.71
Chapter 7 --- Future Work --- p.72
Bibliography --- p.74
Schmalzried, Terry Eugene. "Classification of wheat kernels by machine-vision measurement." 1985. http://hdl.handle.net/2097/27530.
Повний текст джерелаSo, Wing Wah Simon. "Content-based image indexing and retrieval for visual information systems." Thesis, 2000. https://vuir.vu.edu.au/15318/.
Повний текст джерела"Axial deformation with controllable local coordinate frames." 2010. http://library.cuhk.edu.hk/record=b5894293.
Повний текст джерелаThesis (M.Phil.)--Chinese University of Hong Kong, 2010.
Includes bibliographical references (leaves 83-87).
Abstracts in English and Chinese.
Chapter 1. --- Introduction --- p.13-16
Chapter 1.1. --- Motivation --- p.13
Chapter 1.2 --- Objectives --- p.14-15
Chapter 1.3 --- Thesis Organization --- p.16
Chapter 2. --- Related Works --- p.17-24
Chapter 2.1 --- Axial and the Free Form Deformation --- p.17
Chapter 2.1.1 --- The Free-Form Deformation --- p.18
Chapter 2.1.2 --- The Lattice-based Representation --- p.18
Chapter 2.1.3 --- The Axial Deformation --- p.19-20
Chapter 2.1.4 --- Curve Pair-based Representation --- p.21-22
Chapter 2.2 --- Self Intersection Detection --- p.23-24
Chapter 3. --- Axial Deformation with Controllable LCFs --- p.25-46
Chapter 3.1 --- Related Methods --- p.25
Chapter 3.2 --- Axial Space --- p.26-27
Chapter 3.3 --- Definition of Local Coordinate Frame --- p.28-29
Chapter 3.4 --- Constructing Axial Curve with LCFs --- p.30
Chapter 3.5 --- Point Projection Method --- p.31-32
Chapter 3.5.1 --- Optimum Reference Axial Curve Point --- p.33
Chapter 3.6 --- Advantages using LCFs in Axial Deformation --- p.34
Chapter 3.6.1 --- Deformation with Smooth Interpolated LCFs --- p.34-37
Chapter 3.6.2 --- Used in Closed-curve Deformation --- p.38-39
Chapter 3.6.3 --- Hierarchy of Axial Curve --- p.40
Chapter 3.6.4 --- Applications in Soft Object Deformation --- p.41
Chapter 3.7 --- Experiments and Results --- p.42-46
Chapter 4. --- Self Intersection Detection of Axial Curve with LCFs --- p.47-76
Chapter 4.1 --- Related Works --- p.48-49
Chapter 4.2 --- Algorithms for Solving Self-intersection Problem with a set of LCFs --- p.50-51
Chapter 4.2.1 --- The Intersection of Two Plane --- p.52
Chapter 4.2.1.1 --- Constructing the Normal Plane --- p.53-54
Chapter 4.2.1.2 --- A Line Formed by Two Planes Intersection --- p.55-57
Chapter 4.2.1.3 --- Problems --- p.58
Chapter 4.2.1.4 --- Sphere as Constraint --- p.59-60
Chapter 4.2.1.5 --- Intersecting Line between Two Circular Discs --- p.61
Chapter 4.2.2 --- Distance between a Mesh Vertex and a Curve Point --- p.62-63
Chapter 4.2.2.1 --- Possible Cases of a Line and a Circle --- p.64-66
Chapter 4.3 --- Definition Proof --- p.67
Chapter 4.3.1 --- Define the Meaning of Self-intersection --- p.67
Chapter 4.3.2 --- Cross Product of Two Vectors --- p.68
Chapter 4.4 --- Factors Affecting the Accuracy of the Algorithm --- p.69
Chapter 4.3.1 --- High Curvature of the Axial Curve --- p.69-70
Chapter 4.3.2 --- Mesh Density of an Object. --- p.71-73
Chapter 4.5 --- Architecture of the Self Intersection Algorithm --- p.74
Chapter 4.6 --- Experimental Results --- p.75- 79
Chapter 5. --- Conclusions and Future Development --- p.80-82
Chapter 5.1 --- Contribution and Conclusions --- p.80-81
Chapter 5.2 --- Limitations and Future Developments --- p.82
References --- p.83-87
Chen, Tsai-Wen. "A Systems Level Analysis of Neuronal Network Function in the Olfactory Bulb: Coding, Connectivity, and Modular organization." Doctoral thesis, 2008. http://hdl.handle.net/11858/00-1735-0000-000D-F166-0.
Повний текст джерелаHeisen, Burkhard Clemens. "New Algorithms for Macromolecular Structure Determination." Doctoral thesis, 2009. http://hdl.handle.net/11858/00-1735-0000-0006-B503-3.
Повний текст джерела