Theory Applications Of Image Analysis
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Theory And Applications Of Image Analysis Ii Selected Papers From The 9th Scandinavian Conference On Image Analysis
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Author : Gunilla Borgefors
language : en
Publisher: World Scientific
Release Date : 1995-11-22
Theory And Applications Of Image Analysis Ii Selected Papers From The 9th Scandinavian Conference On Image Analysis written by Gunilla Borgefors and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-11-22 with Computers categories.
This book contains 31 selected papers (out of 136 accepted) from the 9th Scandinavian Conference on Image Analysis, held in Uppsala, Sweden, 6-9 June 1995. They represent the very best of what is currently done in image analysis, world-wide, describing very recent work. The papers have been both considerably expanded and updated compared to the version in the conference proceedings, giving the readers a much better understanding of the issues at hand.The papers cover both theory and successful applications. There are chapters on Edges and Curves, Texture, Depth and Stereo, Scene Analysis, and 3D Motion, thus covering the chain from feature extraction to computer vision. Two important application areas are covered: Medical and Industrial.
Theory Applications Of Image Analysis
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Author : P. Johansen
language : en
Publisher: World Scientific
Release Date : 1992
Theory Applications Of Image Analysis written by P. Johansen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Technology & Engineering categories.
This book contains 31 papers carefully selected from among those presented at the 7th Scandinavian Conference on Image Analysis. The authors have extended their papers to give a more in-depth discussion of the theory, or of the experimental validation of the method they have proposed. The topics covered are current and wide-ranging and include both 2D- and 3D-vision, and low to high level vision.
Theory And Applications Of Image Analysis
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Author : P Johansen
language : en
Publisher: World Scientific
Release Date : 1992-05-14
Theory And Applications Of Image Analysis written by P Johansen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-05-14 with Technology & Engineering categories.
This book contains 31 papers carefully selected from among those presented at the 7th Scandinavian Conference on Image Analysis. The authors have extended their papers to give a more in-depth discussion of the theory, or of the experimental validation of the method they have proposed. The topics covered are current and wide-ranging and include both 2D- and 3D-vision, and low to high level vision. Contents:Theory:Human Image Understanding (I Biederman)Local Image Structure (J J Koenderink)An Algebraic/Analytic Method for Reconstruction from Image Correspondences (G Sparr)Computational Aspects:Efficient Matching of Dynamically Changing Graphs (H Bunke et al.)Using a Genetic Algorithm to Solve Constraint Satisfaction Problems Generated by An Image Interpreter (S Truvé)Estimation of Velocity and Acceleration in Time Sequences (L Haglund et al.)Applications:Towards Continuously Operating Integrated Vision Systems for Robotics Applications (J L Crowley)Real Time 3D-Road Modeling for Autonomous Vehicle Guidance (U Franke)Studies on Classification of LANDSAT Image Data Using a Neural Network Approach (S Kamata et al.)Texture Discrimination of Normal and Malignant Mouse Liver Cell Nuclei (F Albregtsen et al.)and other papers Readership: Computer scientists and engineers. keywords:Image Analysis;Human Image Perception;T-junction;Feature;Extraction;Image Reconstruction;Autonomous Vehicle Guidance;3D Pose;Shape Analysis;Texture Analysis;Segmentation
Moment Functions In Image Analysis Theory And Applications
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Author : R Mukundan
language : en
Publisher: World Scientific
Release Date : 1998-09-02
Moment Functions In Image Analysis Theory And Applications written by R Mukundan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-02 with Computers categories.
This book is a comprehensive treatise on the theory and applications of moment functions in image analysis. Moment functions are widely used in various realms of computer vision and image processing. Numerous algorithms and techniques have been developed using image moments, in the areas of pattern recognition, object identification, three-dimensional object pose estimation, robot sensing, image coding and reconstruction. This book provides a compilation of the theoretical aspects related to different types of moment functions, and their applications in the above areas. The book is organized into two parts. The first part discusses the fundamental concepts behind important moments such as geometric moments, complex moments, Legendre moments, Zernike moments, and moment tensors. Most of the commonly used properties of moment functions and the mathematical framework for the derivation of basic theorems and results are discussed in detail. This includes the derivation of moment invariants, implementation aspects of moments, transform properties, and fast methods for computing the moment functions for both binary and gray-level images. The second part presents the key application areas of moments such as pattern recognition, object identification, image-based pose estimation, edge detection, clustering, segmentation, coding and reconstruction. Important algorithms in each of these areas are discussed. A comprehensive list of bibliographical references on image moments is also included. Contents:Moment Functions — Theory:Geometric MomentsComplex MomentsLegendre MomentsZernike MomentsMoment TensorsMoment Functions — Applications:Pattern Recognition and Object IdentificationAttitude and Position EstimationMiscellaneous Applications Readership: Academicians and researchers in computer vision. Keywords:Image Moment Functions;Moment Invariants;Orthogonal Moments;Geometric Moments;Feature Descriptors;Zernike Moments;Legendre Moments;Pose Estimation;Pattern Recognition;Image Classification
Parallel Image Analysis
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Author :
language : en
Publisher:
Release Date : 1995
Parallel Image Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Image processing categories.
Image Processing And Analysis With Graphs
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Author : Olivier Lezoray
language : en
Publisher: CRC Press
Release Date : 2017-07-12
Image Processing And Analysis With Graphs written by Olivier Lezoray and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-12 with Computers categories.
Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications. Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drastic increase in the number of applications based on digital images. This book explores how graphs—which are suitable to represent any discrete data by modeling neighborhood relationships—have emerged as the perfect unified tool to represent, process, and analyze images. It also explains why graphs are ideal for defining graph-theoretical algorithms that enable the processing of functions, making it possible to draw on the rich literature of combinatorial optimization to produce highly efficient solutions. Some key subjects covered in the book include: Definition of graph-theoretical algorithms that enable denoising and image enhancement Energy minimization and modeling of pixel-labeling problems with graph cuts and Markov Random Fields Image processing with graphs: targeted segmentation, partial differential equations, mathematical morphology, and wavelets Analysis of the similarity between objects with graph matching Adaptation and use of graph-theoretical algorithms for specific imaging applications in computational photography, computer vision, and medical and biomedical imaging Use of graphs has become very influential in computer science and has led to many applications in denoising, enhancement, restoration, and object extraction. Accounting for the wide variety of problems being solved with graphs in image processing and computer vision, this book is a contributed volume of chapters written by renowned experts who address specific techniques or applications. This state-of-the-art overview provides application examples that illustrate practical application of theoretical algorithms. Useful as a support for graduate courses in image processing and computer vision, it is also perfect as a reference for practicing engineers working on development and implementation of image processing and analysis algorithms.
Advances In Digital Image Processing
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Author : P. Stucki
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11
Advances In Digital Image Processing written by P. Stucki and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Computers categories.
Digital image processing, originally established to analyze and improve lunar images, is rapidly growing into a wealth of new appli cations, due to the enormous technical progress made in computer engineering. At present, the most important fields of growth appear to emerge in the areas of medical image processing (i. e. tomography, thermography), earth resource inventory (i. e. land usage, minerals), office automation (i. e. document storage, retrieval and reproduction) and industrial production (i. e. computer vision for mechanical ro bots). Currently, emphasis is being shifted from signal-processing re search and design-innovation activities towards cost-efficient system implementations for interactive digital image processing. For the years ahead, trends in computer engineering indicate still further advances in Large Scale Integration (LSI) and Input/Output (I/O) technologies allowing the implementation of powerful parallel and/or distributed processor architectures for real-time processing of high resolution achromatic and color images. In view of the many new developments in the field of digital image processing and recognizing the importance of discussing these developments amongst key scientists that might make use of them, ffiM Germany sponsored an international symposium on 'Advances in Digital Image Processing', held at Bad Neuenahr, Federal Republic of Germany, September 26 - 28, 1978. The interest shown in this symposium encouraged the publi cation of the papers presented in this volume of the ffiM Research Symposium Series.
Front End Vision And Multi Scale Image Analysis
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Author : Bart M. Haar Romeny
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-10-24
Front End Vision And Multi Scale Image Analysis written by Bart M. Haar Romeny and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-24 with Computers categories.
Many approaches have been proposed to solve the problem of finding the optic flow field of an image sequence. Three major classes of optic flow computation techniques can discriminated (see for a good overview Beauchemin and Barron IBeauchemin19951): gradient based (or differential) methods; phase based (or frequency domain) methods; correlation based (or area) methods; feature point (or sparse data) tracking methods; In this chapter we compute the optic flow as a dense optic flow field with a multi scale differential method. The method, originally proposed by Florack and Nielsen [Florack1998a] is known as the Multiscale Optic Flow Constrain Equation (MOFCE). This is a scale space version of the well known computer vision implementation of the optic flow constraint equation, as originally proposed by Horn and Schunck [Horn1981]. This scale space variation, as usual, consists of the introduction of the aperture of the observation in the process. The application to stereo has been described by Maas et al. [Maas 1995a, Maas 1996a]. Of course, difficulties arise when structure emerges or disappears, such as with occlusion, cloud formation etc. Then knowledge is needed about the processes and objects involved. In this chapter we focus on the scale space approach to the local measurement of optic flow, as we may expect the visual front end to do. 17. 2 Motion detection with pairs of receptive fields As a biologically motivated start, we begin with discussing some neurophysiological findings in the visual system with respect to motion detection.
Parallel Image Analysis
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Author :
language : en
Publisher:
Release Date : 1995
Parallel Image Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.
Theory And Applications Of Image Analysis
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Author : P. Johansen
language : en
Publisher:
Release Date : 1992
Theory And Applications Of Image Analysis written by P. Johansen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.