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Dissertations / Theses on the topic 'Genetic Algorithm and Image Processing'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

Murnion, Shane D. "Neural and genetic algorithm applications in GIS and remote sensing." Thesis, Queen's University Belfast, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337024.

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2

Yu, Xinren. "Pavement Surface Distress Detection and Evaluation Using Image Processing Technology." University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302032254.

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3

Uren, PJ. "Investigation of Distributed and Parallel Performance of a Genetic Algorithm." Thesis, Honours thesis, University of Tasmania, 2004. https://eprints.utas.edu.au/101/1/Philip_Uren_Thesis_Final.pdf.

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Genetic algorithms, a stochastic evolutionary computing technique, have demonstrated a capacity for robust, efficient problem solving through highly parallel search space exploration. This work demonstrates how an improvement in performance and efficiency over the traditional serial approach can be achieved by exploiting this highly parallel nature to produce parallel genetic algorithms. Furthermore, it is shown that by incorporating domain specific knowledge into a genetic algorithm near optimal solutions can be located in minimal time.

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4

Chapagain, Prerak. "Optimization Techniques for Image Processing." ScholarWorks@UNO, 2019. https://scholarworks.uno.edu/honors_theses/133.

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This research thesis starts off with a basic introduction to optimization and image processing. Because there are several different tools to apply optimization in image processing applications, we started researching one category of mathematical optimization techniques, namely Convex Optimization. This thesis provides a basic background consisting of mathematical concepts, as well as some challenges of employing Convex Optimization in solving problems. One major issue is to be able to identify the convexity of the problem in a potential application (Boyd). After spending a couple of months res

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5

Tsai, Ya-Lin. "Development of parallel processing algorithms to provide automatic image analysis for medical application." Thesis, University of Sunderland, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336914.

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This thesis describes the development of: (i) an automatic chromosome analysis system capable of producing to a high degree of accuracy and consistency a correct classification for damaged chromosomes at a low cost and (ii) a parallel computer system to enable more rapid chromosome analysis. Chromosomes can be examined in a cytogenetics laboratory for a variety of purposes including an assessment of the affects of ionisation exposure on the genetic code of the cell. Scoring of chromosome aberrations caused by ionisation of radiation exposure, is possible by detecting dicentric chromosomes. In

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6

Hobbs, Mike. "Genetic algorithms for spatial data analysis in geographical information systems." Thesis, University of Kent, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262636.

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7

Egan, Thomas Michael. "An investigation into the use of genetic algorithms for shape recognition." Thesis, Open University, 1998. http://oro.open.ac.uk/57748/.

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The use of the genetic algorithm for shape recognition has been investigated in relation to features along a shape boundary contour. Various methods for encoding chromosomes were investigated, the most successful of which led to the development of a new technique to input normalised 'perceptually important point' features from the contour into a genetic algorithm. Chromosomes evolve with genes defining various ways of 'observing' different parts of the contour. The normalisation process provides the capability for multi-scale spatial frequency filtering and fine/coarse resolution of the contou

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8

Gadde, Pramod. "AFFINE IMAGE REGISTRATION USING ARTIFICIAL NEURAL NETWORKS." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/982.

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This thesis deals with image registration of MRI images using neural networks. Image registration combines multiple images of the same subject that were taken at different points in time, from different sensors, or from different points of views into a single image and coordinate system. Image registration is widely used in medical imaging and remote sensing. In this thesis feed forward neural networks and wavelet neural networks are used to estimate the parameters of registration. Simulations show that the wavelet networks provide significantly more accurate results than feed forward networks

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Komjáthy, Gergely. "Koevoluce obrazových filtrů a detektorů šumu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-412903.

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This thesis deals with image filter design using coevolutionary algorithms. It contains a description of evolutionary algorithms, focusing on genetic programming, cartesian genetic programming and coevolution, the reader can learn about image filters too. The next chapters contain the design of image filters and noise detectors using cooperative coevolution, and the implementation and testing of the proposed filter. In the last chapter the proposed filter is compared to other filters created using evolutionary algorithms but without coevolution.

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10

Muttayane, Anandajothi. "Towards Colour Imaging with the Image Ranger." The University of Waikato, 2006. http://hdl.handle.net/10289/2388.

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Many of the colour images captured by different types of digital camera do not provide quality colour image according to human visual perception. In this study we explore technique for colour correction of the colour images from the Waikato Image Ranger. Colour images were captured using three different illuminants with the Waikato Image Ranger. The colour image formed from the ranger data do not have good quality because illuminants used do not match usual RGB standard illuminants. The spectral power distribution values of the illuminants were measured using spectroradiometer. To calculate tr

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Peterson, Michael Ray. "Evolutionary Methodology for Optimization of Image Transforms Subject to Quantization Noise." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1214303970.

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Šmirg, Ondřej. "Tvorba 3D modelu čelistního kloubu." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-233691.

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The dissertation thesis deals with 3D reconstruction of the temporomandibular joint from 2D slices of tissue obtained by magnetic resonance. The current practice uses 2D MRI slices in diagnosing. 3D models have many advantages for the diagnosis, which are based on the knowledge of spatial information. Contemporary medicine uses 3D models of tissues, but with the temporomandibular joint tissues there is a problem with segmenting the articular disc. This small tissue, which has a low contrast and very similar statistical characteristics to its neighborhood, is very complicated to segment. For th

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Hrbáček, Radek. "Koevoluční algoritmus v FPGA." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236407.

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This thesis deals with the design of a hardware acceleration unit for digital image filter design using coevolutionary algorithms. The first part introduces reconfigurable logic device technology that the acceleration unit is based on. The theoretical part also briefly characterizes evolutionary and coevolutionary algorithms, their principles and applications. Traditional image filter designs are compared with the biologically inspired design methods. The hardware unit presented in this thesis exploits dual MicroBlaze system extended by custom peripherals to accelerate cartesian genetic progra

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Li, Yong. "Contour Based 3D Biological Image Reconstruction and Partial Retrieval." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/cs_diss/29.

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Image segmentation is one of the most difficult tasks in image processing. Segmentation algorithms are generally based on searching a region where pixels share similar gray level intensity and satisfy a set of defined criteria. However, the segmented region cannot be used directly for partial image retrieval. In this dissertation, a Contour Based Image Structure (CBIS) model is introduced. In this model, images are divided into several objects defined by their bounding contours. The bounding contour structure allows individual object extraction, and partial object matching and retrieval from a

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Bruce, Neil. "Evolutionary Design for Computational Visual Attention." Thesis, University of Waterloo, 2003. http://hdl.handle.net/10012/900.

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A new framework for simulating the visual attention system in primates is introduced. The proposed architecture is an abstraction of existing approaches influenced by the work of Koch and Ullman, and Tompa. Each stage of the attentional hierarchy is chosen with consideration for both psychophysics and mathematical optimality. A set of attentional operators are derived that act on basic image channels of intensity, hue and orientation to produce maps representing perceptual importance of each image pixel. The development of such operators is realized within the context of a genetic opti

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Babatunde, Oluleye Hezekiah. "A neuro-genetic hybrid approach to automatic identification of plant leaves." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2015. https://ro.ecu.edu.au/theses/1733.

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Plants are essential for the existence of most living things on this planet. Plants are used for providing food, shelter, and medicine. The ability to identify plants is very important for several applications, including conservation of endangered plant species, rehabilitation of lands after mining activities and differentiating crop plants from weeds. In recent times, many researchers have made attempts to develop automated plant species recognition systems. However, the current computer-based plants recognition systems have limitations as some plants are naturally complex, thus it is difficu

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Paiva, Jônatas Lopes de. "Um algoritmo genético híbrido para supressão de ruídos em imagens." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-11042016-105926/.

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Imagens digitais são utilizadas para diversas finalidades, variando de uma simples foto com os amigos até a identificação de doenças em exames médicos. Por mais que as tecnologias de captura de imagens tenham evoluído, toda imagem adquirida digitalmente possui um ruído intrínseco a ela que normalmente é adquirido durante os processo de captura ou transmissão da imagem. O grande desafio neste tipo de problema consiste em recuperar a imagem perdendo o mínimo possível de características importantes da imagem, como cantos, bordas e texturas. Este trabalho propõe uma abordagem baseada em um Algorit

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Gava, Marisa Carla Voigt. "Resolução do problema de corte bidimensional com itens irregulares idênticos usando algoritmos genéticos e processamento de imagens digitais." Universidade Nove de Julho, 2016. http://bibliotecadigital.uninove.br/handle/tede/1483.

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Submitted by Nadir Basilio (nadirsb@uninove.br) on 2016-07-01T14:58:21Z No. of bitstreams: 1 Marisa Carla Voigt Gava.pdf: 1946904 bytes, checksum: 369bf987709311eddcb1f66a7c5fad55 (MD5)<br>Made available in DSpace on 2016-07-01T14:58:21Z (GMT). No. of bitstreams: 1 Marisa Carla Voigt Gava.pdf: 1946904 bytes, checksum: 369bf987709311eddcb1f66a7c5fad55 (MD5) Previous issue date: 2016-02-29<br>The cutting problem involves cutting larger objects into smaller items with the aim of minimizing waste. The objects can be raw materials, such as rolls of paper, glass sheets, metal plates, steel, al

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Kingry, Nathaniel. "Heuristic Optimization and Sensing Techniques for Mission Planning of Solar-Powered Unmanned Ground Vehicles." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523874767812408.

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Wiglasz, Michal. "Souběžné učení v koevolučních algoritmech." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234912.

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Cartesian genetic programming (CGP) is a form of genetic programming where candidate programs are represented in the form of directed acyclic graphs. It was shown that CGP can be accelerated using coevolution with a population of fitness predictors which are used to estimate the quality of candidate solutions. The major disadvantage of the coevolutionary approach is the necessity of performing many time-consuming experiments to determine the best size of the fitness predictor for the particular task. This project introduces a new fitness predictor representation with phenotype plasticity, base

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21

Richter, Jan. "Využití metod umělé inteligence pro simulaci a identifikaci dat v oblasti proudění." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-391879.

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It is possible to simulate an airflow by additives to shoot images and records of such flowing. Additives can be in the form of particles or continuous filaments. A computer evaluation of such data differs depending on the kind of visualization method. This thesis deals with a number of different approaches to determine the airjet shape and airflow velocity in airflow images and records. Exact procedures area sed for these purposes as well as neural networks and genetic algorithms.

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Porter, Reid. "Evolution on FPGAs for feature extraction." Thesis, Queensland University of Technology, 2001.

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23

Ghosh, Payel. "Medical Image Segmentation Using a Genetic Algorithm." PDXScholar, 2010. https://pdxscholar.library.pdx.edu/open_access_etds/25.

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Advances in medical imaging technology have led to the acquisition of large number of images in different modalities. On some of these images the boundaries of key organs need to be accurately identified for treatment planning and diagnosis. This is typically performed manually by a physician who uses prior knowledge of organ shapes and locations to demarcate the boundaries of organs. Such manual segmentation is subjective, time consuming and prone to inconsistency. Automating this task has been found to be very challenging due to poor tissue contrast and ill-defined organ/tissue boundaries. T

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Levillain, Roland. "Towards a software architecture for generic image processing." Phd thesis, Université Paris-Est, 2011. http://pastel.archives-ouvertes.fr/pastel-00673121.

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In the context of software engineering for image processing (IP), we consider the notion of reusability of algorithms. In many software tools, an algorithm's implementation often depends on the type of processed data. In a broad definition, discrete digital images may have various forms : classical 2D images, 3D volumes, non-regular graphs, cell complexes, and so on : thus leading to a combinatorial explosion of the theoretical number of implementations. Generic programming (GP) is a framework suited to the development of reusable software tools. We present a programming paradigm based on GP d

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25

Harp, J. G. "Algorithms and architectures for image processing." Thesis, University of Surrey, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379431.

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26

Boudjelaba, Kamal. "Contribution à la conception des filtres bidimensionnels non récursifs en utilisant les techniques de l’intelligence artificielle : application au traitement d’images." Thesis, Orléans, 2014. http://www.theses.fr/2014ORLE2015/document.

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La conception des filtres a réponse impulsionnelle finie (RIF) peut être formulée comme un problème d'optimisation non linéaire réputé pour être difficile sa résolution par les approches conventionnelles. Afin d'optimiser la conception des filtres RIF, nous explorons plusieurs méthodes stochastiques capables de traiter de grands espaces. Nous proposons un nouvel algorithme génétique dans lequel certains concepts innovants sont introduits pour améliorer la convergence et rendre son utilisation plus facile pour les praticiens. Le point clé de notre approche découle de la capacité de l'algorithme

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Susnjak, Teo. "Accelerating classifier training using AdaBoost within cascades of boosted ensembles : a thesis presented in partial fulfillment of the requirements for the degree of Master of Science in Computer Sciences at Massey University, Auckland, New Zealand." Massey University, 2009. http://hdl.handle.net/10179/1002.

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This thesis seeks to address current problems encountered when training classifiers within the framework of cascades of boosted ensembles (CoBE). At present, a signifi- cant challenge facing this framework are inordinate classifier training runtimes. In some cases, it can take days or weeks (Viola and Jones, 2004; Verschae et al., 2008) to train a classifier. The protracted training runtimes are an obstacle to the wider use of this framework (Brubaker et al., 2006). They also hinder the process of producing effective object detection applications and make the testing of new theories and algori

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Dawson, Laurence James. "Generic techniques in general purpose GPU programming with applications to ant colony and image processing algorithms." Thesis, Durham University, 2015. http://etheses.dur.ac.uk/11211/.

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In 2006 NVIDIA introduced a new unified GPU architecture facilitating general-purpose computation on the GPU. The following year NVIDIA introduced CUDA, a parallel programming architecture for developing general purpose applications for direct execution on the new unified GPU. CUDA exposes the GPU's massively parallel architecture of the GPU so that parallel code can be written to execute much faster than its sequential counterpart. Although CUDA abstracts the underlying architecture, fully utilising and scheduling the GPU is non-trivial and has given rise to a new active area of research. Due

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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/.

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As atividades de teste de software são de crescente importância devido à maciça presença de sistemas de informação em nosso cotidiano. Programas de Processamento de Imagens (PI) têm um domínio de entrada bastante complexo e, por essa razão, o teste tradicional realizado com esse tipo de programa, conduzido majoritariamente de forma manual, é uma tarefa de alto custo e sujeita a imperfeições. No teste tradicional, em geral, as imagens de entrada são construídas manualmente pelo testador ou selecionadas aleatoriamente de bases de imagens, muitas vezes dificultando a revelação de defeitos no soft

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Mahmoudi, Ramzi, and Ramzi Mahmoudi. "Real time image processing : algorithm parallelization on multicore multithread architecture." Phd thesis, Université Paris-Est, 2011. http://pastel.archives-ouvertes.fr/pastel-00680735.

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Topological features of an object are fundamental in image processing. In many applications,including medical imaging, it is important to maintain or control the topology of the image. Howeverthe design of such transformations that preserve topology and geometric characteristics of the inputimage is a complex task, especially in the case of parallel processing.Parallel processing is applied to accelerate computation by sharing the workload among multipleprocessors. In terms of algorithm design, parallel computing strategies profits from the naturalparallelism (called also partial order of algo

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Greenaway, Richard Scott. "Image processing and data analysis algorithm for application in haemocytometry." Thesis, University of Hertfordshire, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263063.

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Mahmoudi, Ramzi. "Real time image processing : algorithm parallelization on multicore multithread architecture." Thesis, Paris Est, 2011. http://www.theses.fr/2011PEST1033/document.

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Les caractéristiques topologiques d'un objet sont fondamentales dans le traitement d'image. Dansplusieurs applications, notamment l'imagerie médicale, il est important de préserver ou de contrôlerla topologie de l'image. Cependant la conception de telles transformations qui préservent à la foi la topologie et les caractéristiques géométriques de l'image est une tache complexe, en particulier dans le cas du traitement parallèle.Le principal objectif du traitement parallèle est d'accélérer le calcul en partagent la charge de travail à réaliser entre plusieurs processeurs. Si on approche cet obje

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Flores, Daniel. "Evaluation of an image processing algorithm for scene change detection." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Manfredsson, Johan. "Evaluation Tool for a Road Surface Algorithm." Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138936.

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Modern cars are often equipped with sensors like radar, infrared cameras and stereo cameras that collect information about its surroundings. By using a stereo camera, it is possible to receive information about the distance to points in front of the car. This information can be used to estimate the height of the predicted path of the car. An application which does this is the stereo based Road surface preview (RSP) algorithm. By using the output from the RSP algorithm it is possible to use active suspension control, which controls the vertical movement of the wheels relative to the chassis. Th

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Groder, Seth. "Modeling and synthesis of the HD photo compression algorithm /." Online version of thesis, 2008. http://hdl.handle.net/1850/7118.

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Lowry, Michael B. "Coordinated Regional and City Planning Using a Genetic Algorithm." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd444.pdf.

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He, Zhijun. "System And Algorithm Design For Varve Image Analysis System." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/196015.

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This dissertation describes the design and implementation of a computer vision based varve image analysis system. The primary issues covered are software engineering design, varve image calibrations, varve image enhancement, varve Dynamic Spatial Warping (DSW) profile generation, varve core image registration, varve identification, boundary identification and varve thickness measurement. A varve DSW matching algorithm is described to generate DSW profile and register two core images. Wavelet Multiple Resolution Analysis (MRA) is also used to do the core image registrations. By allowing an ana

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Bilhanan, Anuleka. "High level synthesis of an image processing algorithm for cancer detection." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000303.

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Gum, Teren. "A simple linear algorithm for computing edge-to-edge visibility in a polygon /." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65508.

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Han, Tony. "SWASAD Smith & Waterman-algorithm-specific ASIC design /." St. Lucia, Qld, 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16391.pdf.

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Lai, Chih-Ching, and 賴智錦. "Studies on Genetic Algorithms for Image Processing." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/43176158577665048452.

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博士<br>國立中央大學<br>資訊工程研究所<br>87<br>Image processing is a rapidly evolving research field with growing applications in science and engineering. In this study, we solve four image-processing problems from the viewpoint of optimization. Genetic algorithms (GAs) are inspired by biological evolution and they are widely believed to be effective global optimization algorithms. GAs provide versatile problem-solving mechanism for search, adaptation, and learning in a variety of application domains, especially for those problems in which heuristic methods lead to unsatisfactory results. Hence, the motivat

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Gorpuni, Pavankumar. "Development of Fast Motion Estimation Algorithms for Video Comression." Thesis, 2009. http://ethesis.nitrkl.ac.in/1368/1/207EC110_THESIS.pdf.

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With the increasing popularity of technologies such as Internet streaming video and video conferencing, video compression has became an essential component of broadcast and entertainment media. Motion Estimation (ME) and compensation techniques, which can eliminate temporal redundancy between adjacent frames effectively, have been widely applied to popular video compression coding standards such as MPEG-2, MPEG-4. Traditional fast block matching algorithms are easily trapped into the local minima resulting in degradation on video quality to some extent after decoding. Since Evolutionary Comput

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Lalitha, Karnati Venkata Naga. "Grayscale Digital Halftoning Using Optimization Techniques." Thesis, 2015. http://ethesis.nitrkl.ac.in/7814/1/2015_Grayscale_Lalitha.pdf.

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In this paper a complete outline of advanced Digital halftoning techniques is given. This paper explains halftoning from its definition, application of halftoning to different useful techniques which are improved to give a high signal to noise ratio image. Apart from signal to noise ratio another parameter which measures the similarity between two images is also shown in this paper. Additionally the drawback of each method and comparison of the SNR, and SSIM of all methods is also shown in this paper. Error diffusion technique using FS, Stucki and JJN filters is an efficient approach to halfto

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"Arbitrary shape detection by genetic algorithms." 2005. http://library.cuhk.edu.hk/record=b5892628.

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Wang Tong.<br>Thesis submitted in: June 2004.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2005.<br>Includes bibliographical references (leaves 64-69).<br>Abstracts in English and Chinese.<br>ABSTRACT --- p.I<br>摘要 --- p.IV<br>ACKNOWLEDGMENTS --- p.VI<br>TABLE OF CONTENTS --- p.VIII<br>LIST OF FIGURES --- p.XIIV<br>Chapter CHAPTER 1 --- INTRODUCTION --- p.1<br>Chapter 1.1 --- Hough Transform --- p.2<br>Chapter 1.2 --- Template Matching --- p.3<br>Chapter 1.3 --- Genetic Algorithms --- p.4<br>Chapter 1.4 --- Outline of the Thesis --- p.6<br>Chapter CHAPTER 2 --- HOUGH TRANSFO

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Lakide, Vedavrath. "Classification of Synthetic Aperture Radar Images using Particle Swarm Optimization Technique." Thesis, 2009. http://ethesis.nitrkl.ac.in/1438/1/VEDAVRATH_FINAL_PDF.pdf.

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In this thesis, SAR image classification problem is considered as an optimization problem various clustering techniques are addressed in literature for SAR image classification. This thesis focuses on an evolutionary based stochastic optimization technique that is Particle Swarm Optimization (PSO) technique for classification of SAR images. This technique composes of three main processes: firstly, selecting training samples for every region in the SAR image. Secondly, training these samples using PSO, and obtain cluster center of every region. Finally, the classification of SAR image with resp

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Chiu, Wenyi, and 邱文怡. "On Applying Image Processing and Genetic Algorithms to Visual Cryptography." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/95804146567710155362.

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碩士<br>國立中興大學<br>資訊科學研究所<br>90<br>In 1994, Naor and Shamir proposed the Visual Cryptography. It is a typical (t,n) threshold scheme. Since 1994 many researchers have also performed the related research on this topic. The basic visual cryptography theory is to treat a master key as a black-and-while secret image, and via certain encoding procedure to produce “n” sheets of chaotic and meaningless share images, and then sharing them with qualified participants. After that, one only need to print any “t” sheets of secret share mages in slices, overlap sheets, and then he will be able to directly se

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"Free-form surface registration and model integration using a dynamic genetic algorithm =: 動態遺傳演說法之自由形態面拼砌與模型結合的應用". 2001. http://library.cuhk.edu.hk/record=b5890702.

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Chow Chi Kin.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2001.<br>Includes bibliographical references (leaves 136-139).<br>Text in English; abstracts in English and Chinese.<br>Chow Chi Kin.<br>Abstract --- p.i<br>摘要 --- p.ii<br>Acknowledgement --- p.iii<br>Table of content --- p.iv<br>List of figures --- p.viii<br>Chapter Chapter 1: --- Introduction --- p.1<br>Chapter Chapter 2: --- What is Surface Registration? --- p.7<br>Chapter 2.1 --- What is free-form surface --- p.7<br>Chapter 2.2 --- Methodologies of surface construction --- p.8<br>Chapter 2.2.1 --- CAD Model --- p

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Savage, Matthew James Waipurukuma. "A design framework and genetic algorithm for digital design optimisation on FPGAs." 2009. http://hdl.handle.net/2292/4523.

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Design tools of ever increasing power are required to keep pace with technological improvements in chip production. Chip capacities continually increase meaning that designs previously unfeasible become feasible. These designs are typically more complex and larger than their predecessors. Usually, the time available to a designer does not increase at the same rate. A designer is therefore tasked with a greater work load and a very limited amount of time. Design tools and automation are therefore necessary to compensate for this situation. The limiting characteristics of a design tool are its e

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Petukhov, Boris. "Operational scheduling with business modelling and genetic algorithms." Thesis, 2020. https://vuir.vu.edu.au/42038/.

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Development and maintenance of effective schedules is paramount to the overall success of project management. Scheduling in complex and large problem domains is resource consuming and challenging, and becomes especially difficult when project conditions often change within relatively short periods. This research contributes to knowledge in the program management area by putting forward a new approach that entails automation and optimisation of operational scheduling to enable organisations to run their workstreams in a controlled and predictable fashion to achieve the desired outcomes within e

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Rawat, Waseem. "Optimization of convolutional neural networks for image classification using genetic algorithms and bayesian optimization." Diss., 2018. http://hdl.handle.net/10500/24977.

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Notwithstanding the recent successes of deep convolutional neural networks for classification tasks, they are sensitive to the selection of their hyperparameters, which impose an exponentially large search space on modern convolutional models. Traditional hyperparameter selection methods include manual, grid, or random search, but these require expert knowledge or are computationally burdensome. Divergently, Bayesian optimization and evolutionary inspired techniques have surfaced as viable alternatives to the hyperparameter problem. Thus, an alternative hybrid approach that combines the advant

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