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This book focuses on interactive segmentation techniques, which have been extensively studied in recent decades. Interactive segmentation emphasizes clear extraction of objects of interest, whose locations are roughly indicated by human interactions based on high level perception. This book will first introduce classic graph-cut segmentation algorithms and then discuss state-of-the-art techniques, including graph matching methods, region merging and label propagation, clustering methods, and segmentation methods based on edge detection. A comparative analysis of these methods will be provided with quantitative and qualitative performance evaluation, which will be illustrated using natural and synthetic images. Also, extensive statistical performance comparisons will be made. Pros and cons of these interactive segmentation methods will be pointed out, and their applications will be discussed. There have been only a few surveys on interactive segmentation techniques, and those surveys do not cover recent state-of-the art techniques. By providing comprehensive up-to-date survey on the fast developing topic and the performance evaluation, this book can help readers learn interactive segmentation techniques quickly and thoroughly.
Applied physical engineering --- Computer science --- Computer. Automation --- computervisie --- beeldverwerking --- computers --- informatica --- ingenieurswetenschappen --- computerkunde --- signaalverwerking --- Image processing --- Image analysis. --- Digital techniques.
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The pattern recognition and machine learning communities have, until recently, focused mainly on feature-vector representations, typically considering objects in isolation. However, this paradigm is being increasingly challenged by similarity-based approaches, which recognize the importance of relational and similarity information. This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: Explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification algorithms Reviews similarity measures for non-vectorial data, considering both a “kernel tailoring” approach and a strategy for learning similarities directly from training data Describes various methods for “structure-preserving” embeddings of structured data Formulates classical pattern recognition problems from a purely game-theoretic perspective Examines two large-scale biomedical imaging applications that provide assistance in the diagnosis of physical and mental illnesses from tissue microarray images and MRI images This pioneering work is essential reading for graduate students and researchers seeking an introduction to this important and diverse subject. Marcello Pelillo is a Full Professor of Computer Science at the University of Venice, Italy. He is a Fellow of the IEEE and of the IAPR.
Mathematical statistics --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- MRI (magnetic resonance imaging) --- patroonherkenning --- factoranalyse --- machine learning --- microarrays --- computers --- computerkunde --- optica --- Computer vision. --- Image analysis. --- Pattern recognition systems.
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This book introduces resource aware image decomposition, registration, fusion, object detection and tracking algorithms along with their applications in security, monitoring and integration in 3rd Generation Surveillance Systems. All algorithms are evaluated through experimental and simulation results and a parallel and pipelined efficient architecture for implementing the algorithms is described. • Describes a new type of image processing algorithms that are suited for low power and low memory platforms such as wireless sensor networks or mobile devices; • Uses simulation and experimental results to evaluate algorithms presented; • Includes hardware architecture for critical components in the algorithms described.
Electronics --- Electrical engineering --- Applied physical engineering --- draadloze computernetwerken --- mobiele netwerken --- elektronica --- parallel processing --- ingenieurswetenschappen --- elektrische circuits --- Image processing --- Video surveillance. --- Sensor networks. --- Image analysis. --- Electrical engineering. --- Digital techniques.
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This book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective function or functional. The methods of image motion analysis described in this book use the calculus of variations to minimize (or maximize) an objective functional which transcribes all of the constraints that characterize the desired motion variables. The book addresses the four core subjects of motion analysis: Motion estimation, detection, tracking, and three-dimensional interpretation. Each topic is covered in a dedicated chapter. The presentation is prefaced by an introductory chapter which discusses the purpose of motion analysis. Further, a chapter is included which gives the basic tools and formulae related to curvature, Euler Lagrange equations, unconstrained descent optimization, and level sets, that the variational image motion processing methods use repeatedly in the book.
Fluid mechanics --- Hydraulic energy --- Applied physical engineering --- Computer. Automation --- vloeistofstroming --- beeldverwerking --- aerodynamica --- ingenieurswetenschappen --- hydraulica --- signaalverwerking --- vloeistoffen --- Image analysis --- Computer vision. --- Mathematical models.
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Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library. Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you can use to do all of these, as well as track moving objects, extract 3D models, and overlay augmented reality. It's used by major companies like Google (in its autonomous car), Intel, and Sony; and it is the backbone of the Robot Operating System’s computer vision capability. In short, if you're working with computer vision at all, you need to know OpenCV. With Practical OpenCV, you'll be able to: Get OpenCV up and running on Windows or Linux. Use OpenCV to control the camera board and run vision algorithms on Raspberry Pi. Understand what goes on behind the scenes in computer vision applications like object detection, image stitching, filtering, stereo vision, and more. Code complex computer vision projects for your class/hobby/robot/job, many of which can execute in real time on off-the-shelf processors. Combine different modules that you develop to create your own interactive computer vision app.
Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- Raspberry Pi --- OpenCV (open source computer vision) --- object recognition --- computers --- KI (kunstmatige intelligentie) --- computerkunde --- robots --- AI (artificiële intelligentie) --- Computer vision. --- Image processing --- Image analysis. --- Open source software. --- Digital techniques. --- OpenCV.
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This book covers up-to-date methods and algorithms for the automated analysis of engineering drawings and digital cartographic maps. The Non-Deterministic Agent System (NDAS) offers a parallel computational approach to such image analysis. The book describes techniques suitable for persistent and explicit knowledge representation for engineering drawings and digital maps. It also highlights more specific techniques, e.g., applying robot navigation and mapping methods to this problem. Also included are more detailed accounts of the use of unsupervised segmentation algorithms to map images. Finally, all these threads are woven together in two related systems: NDAS and AMAM (Automatic Map Analysis Module).
Space research --- Geodesy. Cartography --- Applied physical engineering --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- beeldverwerking --- fotogrammetrie --- grafische vormgeving --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- sensoren --- signaalverwerking --- AI (artificiële intelligentie) --- Engineering drawings. --- Image analysis.
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Discrete mathematics --- Mathematics --- Computer science --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- discrete wiskunde --- informatica --- externe fixatie (geneeskunde --- algoritmen --- AI (artificiële intelligentie) --- computernetwerken --- Combinatorial analysis --- Image analysis --- Processament d'imatges --- Anàlisi combinatòria
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Image Processing, Computer-Assisted --- Histological Techniques --- Imaging systems in medicine --- Stereology --- Imagerie médicale --- Periodicals. --- Périodiques --- Image Processing, Computer-Assisted. --- Histological Techniques. --- Imaging systems in medicine. --- Stereology. --- Health Sciences --- General and Others --- image analysis --- stereology --- stochastic geometry --- materials science --- biomedical science --- Microscopy, Quantitative --- Quantitative microscopy --- Biological models --- Microstructure --- Photographic interpretation --- Photomicrography --- Science --- Medical imaging systems --- Medical instruments and apparatus --- Histologic Technic --- Histologic Technics --- Histologic Technique --- Histologic Techniques --- Histological Technics --- Technic, Histologic --- Technics, Histologic --- Technique, Histologic --- Techniques, Histologic --- Histological Technic --- Histological Technique --- Technic, Histological --- Technics, Histological --- Technique, Histological --- Techniques, Histological --- Histology --- Analysis, Computer-Assisted Image --- Computer-Assisted Image Analysis --- Computer-Assisted Image Processing --- Image Analysis, Computer-Assisted --- Image Reconstruction --- Computer Assisted Image Analysis --- Computer Assisted Image Processing --- Computer-Assisted Image Analyses --- Image Analyses, Computer-Assisted --- Image Analysis, Computer Assisted --- Image Processing, Computer Assisted --- Image Reconstructions --- Reconstruction, Image --- Reconstructions, Image --- Diagnostic Imaging --- Data Compression --- Multimodal Imaging --- Methodology --- methods --- Mathematics --- Human medicine --- beeldanalyse --- Biomedical Image Processing --- Digital Image Processing --- Medical Image Processing --- Image Processing, Biomedical --- Image Processing, Digital --- Image Processing, Medical --- Image Processings, Medical --- Medical Image Processings --- Processing, Biomedical Image --- Processing, Digital Image --- Processing, Medical Image --- Processings, Digital Image --- Processings, Medical Image
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Computer. Automation --- Physical methods for diagnosis --- Imaging systems in medicine --- Diagnostic imaging --- Imagerie médicale --- Imagerie pour le diagnostic --- Periodicals --- Periodicals. --- Périodiques --- Image processing --- Computer vision in medicine --- Diagnostic Imaging. --- Magnetic Resonance Imaging. --- Ultrasonography. --- Tomography, X-Ray Computed. --- Nuclear Medicine. --- Traitement d'images --- Vision par ordinateur en médecine --- Computer vision in medicine. --- Image processing. --- Imaging systems in medicine. --- Medizin. --- Bildgebendes Verfahren. --- Bildverarbeitung. --- Zeitschrift. --- Online-Publikation. --- Périodiques. --- Image Processing, Computer-Assisted. --- Imaging, Diagnostic --- Imaging, Medical --- Medical Imaging --- Image Processing, Computer-Assisted --- Engineering --- Health Sciences --- Biomedical Engineering --- General and Others --- Radiologic and Imaging Nursing --- Medizin --- Bildgebendes Verfahren --- Bildverarbeitung --- Zeitschrift --- Online-Ressource --- Analysis, Computer-Assisted Image --- Computer-Assisted Image Analysis --- Computer-Assisted Image Processing --- Image Analysis, Computer-Assisted --- Image Reconstruction --- Computer Assisted Image Analysis --- Computer Assisted Image Processing --- Computer-Assisted Image Analyses --- Image Analyses, Computer-Assisted --- Image Analysis, Computer Assisted --- Image Processing, Computer Assisted --- Image Reconstructions --- Reconstruction, Image --- Reconstructions, Image --- Diagnostic Imaging --- Data Compression --- Multimodal Imaging --- beeldanalyse --- Biomedical Image Processing --- Digital Image Processing --- Medical Image Processing --- Image Processing, Biomedical --- Image Processing, Digital --- Image Processing, Medical --- Image Processings, Medical --- Medical Image Processings --- Processing, Biomedical Image --- Processing, Digital Image --- Processing, Medical Image --- Processings, Digital Image --- Processings, Medical Image --- Computer vision
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Pathology, Cellular --- Cytology --- Cells --- Cytological Techniques. --- Image Processing, Computer-Assisted. --- Cytology. --- Pathology, Cellular. --- pathology. --- Histology. --- Pathology. --- Cellular pathology --- Cytopathology --- Cell biology --- Cellular biology --- Analysis, Computer-Assisted Image --- Computer-Assisted Image Analysis --- Computer-Assisted Image Processing --- Image Analysis, Computer-Assisted --- Image Reconstruction --- Computer Assisted Image Analysis --- Computer Assisted Image Processing --- Computer-Assisted Image Analyses --- Image Analyses, Computer-Assisted --- Image Analysis, Computer Assisted --- Image Processing, Computer Assisted --- Image Reconstructions --- Reconstruction, Image --- Reconstructions, Image --- Cytologic Technics --- Cytological Technic --- Cytological Technics --- Cytological Technique --- Technic, Cytological --- Technics, Cytological --- Technique, Cytological --- Techniques, Cytological --- Cytologic Technic --- Technic, Cytologic --- Technics, Cytologic --- Cell Biology --- methods --- Genetic Techniques. --- Genetic Technic --- Genetic Technics --- Genetic Technique --- Technic, Genetic --- Technics, Genetic --- Technique, Genetic --- Techniques, Genetic --- Genetics --- Genetic Counseling --- Genetic Phenomena --- Pathology --- Cytodiagnosis --- Biology --- Cytologists --- Diagnostic Imaging --- Data Compression --- Multimodal Imaging --- Cytological Techniques --- Image Processing, Computer-Assisted --- Cell --- pathology --- Biomedical Image Processing --- Digital Image Processing --- Medical Image Processing --- Image Processing, Biomedical --- Image Processing, Digital --- Image Processing, Medical --- Image Processings, Medical --- Medical Image Processings --- Processing, Biomedical Image --- Processing, Digital Image --- Processing, Medical Image --- Processings, Digital Image --- Processings, Medical Image --- Histology. Cytology --- Oncology. Neoplasms --- Chemistry --- Health Sciences --- Information Technology --- Life Sciences --- Analytical Chemistry --- Biochemistry --- General and Others --- Computational Biosciences --- Cytopathologie --- Cytologie --- Periodicals. --- Périodiques --- EBSCOASP-E EJMEDEC EPUB-ALPHA-A EPUB-PER-FT MDCYTOLO PUBMED-E
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