Pattern Recognition And Image Analysis: Selected Papers From The Ivth Spanish Symposium
Pattern Recognition And Image Analysis: Selected Papers From The Ivth Spanish Symposium

Author: N Perez De La Blanca

Publisher: World Scientific

Published: 1992-01-27

Total Pages: 303

ISBN-13: 9814505757

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This volume contains 18 papers of high quality, selected to represent the work that is being developed by Spanish research groups in pattern recognition and image analysis. It is partly the result of the efforts of the Spanish Association for Pattern Recognition and Image Analysis (AERFAI). It is hoped that this volume will increase awareness of Spanish work in the international scientific community and initiate contacts with research groups worldwide./a

Theory And Applications Of Image Analysis: Selected Papers From The 7th Scandinavian Conference On Image Analysis
Theory And Applications Of Image Analysis: Selected Papers From The 7th Scandinavian Conference On Image Analysis

Author: Peter Johansen

Publisher: World Scientific

Published: 1992-05-14

Total Pages: 362

ISBN-13: 9814505641

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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.

Parallel Image Analysis and Processing
Parallel Image Analysis and Processing

Author: Katsushi Inoue

Publisher: World Scientific

Published: 1994

Total Pages: 235

ISBN-13: 9810218664

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This review volume contains a selection of papers by leading experts in the areas of Parallel Image Analysis, 2-D, 3-D Grammars and Automata and Neural Nets and Learning.

State Of The Art In Digital Mammographic Image Analysis
State Of The Art In Digital Mammographic Image Analysis

Author: Sue Astley

Publisher: World Scientific

Published: 1994-07-26

Total Pages: 307

ISBN-13: 9814502839

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This book provides a detailed assessment of the state of the art in automated techniques for the analysis of digital mammogram images. Topics covered include a variety of approaches for image processing and pattern recognition aimed at assisting the physician in the task of detecting tumors from evidence in mammogram images. The chapters are written by recognized experts in the field and are revised versions of papers selected from those presented at the “First International Workshop on Mammogram Image Analysis” held in San Jose as part of the 1993 Biomedical Image Processing conference.

Thinning Methodologies for Pattern Recognition
Thinning Methodologies for Pattern Recognition

Author: Ching Y. Suen

Publisher: World Scientific

Published: 1994

Total Pages: 354

ISBN-13: 9789810214821

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Thinning is a technique widely used in the pre-processing stage of a pattern recognition system to compress data and to enhance feature extraction in the subsequent stage. It reduces a digitized pattern to a skeleton so that all resulting branches are 1 pixel thick. The method seems easy at first and has many advantages, however after two decades of intensive research, it has been found to be very challenging due to the difficulties in programming computers to do it.This collection of 15 papers by leading scientists working in the area examines the theoretical and experimental aspects of thinning methodologies. The authors have addressed the problems faced, compared their performance results with others, and assessed the challenges ahead. Researchers will find the volume helpful in shedding light on difficult issues and stimulating further research in the area.

Advances In Pattern Recognition Systems Using Neural Network Technologies
Advances In Pattern Recognition Systems Using Neural Network Technologies

Author: Patrick S P Wang

Publisher: World Scientific

Published: 1994-01-01

Total Pages: 329

ISBN-13: 9814611816

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Contents:A Connectionist Approach to Speech Recognition (Y Bengio)Signature Verification Using a “Siamese” Time Delay Neural Network (J Bromley et al.)Boosting Performance in Neural Networks (H Drucker et al.)An Integrated Architecture for Recognition of Totally Unconstrained Handwritten Numerals (A Gupta et al.)Time-Warping Network: A Neural Approach to Hidden Markov Model Based Speech Recognition (E Levin et al.)Computing Optical Flow with a Recurrent Neural Network (H Li & J Wang)Integrated Segmentation and Recognition through Exhaustive Scans or Learned Saccadic Jumps (G L Martin et al.)Experimental Comparison of the Effect of Order in Recurrent Neural Networks (C B Miller & C L Giles)Adaptive Classification by Neural Net Based Prototype Populations (K Peleg & U Ben-Hanan)A Neural System for the Recognition of Partially Occluded Objects in Cluttered Scenes: A Pilot Study (L Wiskott & C von der Malsburg)and other papers Readership: Computer scientists and engineers.

Experimental Environments for Computer Vision and Image Processing
Experimental Environments for Computer Vision and Image Processing

Author: Henrik I. Christensen

Publisher: World Scientific

Published: 1994

Total Pages: 312

ISBN-13: 9789810215101

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To fully appreciate new methods developed in the area of machine vision it is necessary to have facilities which allow experimental verification of such methods. Experimental research is typically a very expensive task in terms of manpower, and consequently it is desirable to adopt standard facilities/methods which allow more efficient experimental investigations. In this volume a range of different experimental environments which facilitate construction and integration of machine vision systems is described. The environments presented cover areas such as robotics, research in individual machine vision methods, system integration, knowledge representation, and distributed computing. The set of environments covered include commercial systems, public domain software and laboratory prototype, showing the diversity of the problem of experimental research in machine vision and providing the reader with an overview of the area.

Neural Networks In Vision And Pattern Recognition
Neural Networks In Vision And Pattern Recognition

Author: Walter Karplus

Publisher: World Scientific

Published: 1992-07-15

Total Pages: 223

ISBN-13: 9814505439

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The neural network paradigm with its various advantages might be the next promising bridge between artificial intelligence and pattern recognition that will help with the conceptualization of new computational artifacts. This volume contains ten papers which represent some of the work being done in the field, such as in computational neuroscience, pattern recognition, computational vision, and applications.

Advances In Structural And Syntactic Pattern Recognition - Proceedings Of The International Workshop
Advances In Structural And Syntactic Pattern Recognition - Proceedings Of The International Workshop

Author: Horst Bunke

Publisher: World Scientific

Published: 1993-02-23

Total Pages: 636

ISBN-13: 9814505153

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Pattern recognition is an active area of research with many applications, some of which have reached commercial maturity. Structural and syntactic methods are very powerful. They are based on symbolic data structures together with matching, parsing, and reasoning procedures that are able to infer interpretations of complex input patterns.This book gives an overview of the latest developments and achievements in the field.

Computer Perceptual Organization in Computer Vision
Computer Perceptual Organization in Computer Vision

Author: Sudeep Sarkar

Publisher: World Scientific

Published: 1994

Total Pages: 254

ISBN-13: 981021832X

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This book describes the design of a complete, flexible system for perceptual organization in computer vision using graph theoretic techniques, voting methods, and an extension of the Bayesian networks called perceptual inference networks (PINs). The PIN, which forms the heart of the system and which is based on Bayesian probabilistic networks, exhibits potential for application in several areas of computer vision as well as a range of other spatial reasoning tasks. The text includes a highly comprehensive, classificatory review of prior work in perceptual organization and, within that framework, identifies key areas for future work by the computer vision research community.