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Advances in Machine Vision : Strategies and Applications

Strategies and Applications

By: Colin Archibald (Editor), Emil M. Petriu (Editor)

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Hardcover | 1 December 1991

At a Glance

Hardcover
380 Pages

Dimensions(cm)
21.59 x 15.24 x 2.54

Hardcover

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This book describes recent strategies and applications for extracting useful information from sensor data. For example, the methods presented by Roth and Levine are becoming widely accepted as the "best" way to segment range images, and the neural network methods for alpha numeric character recognition, presented by K. Yamada, are believed to be the best yet presented. An applied system to analyze the images of dental imprints presented by J. Cote, et al is one of several examples of image processing system designer. Important aspects of the automation of processes are presented in a practical way which can provide immediate new capabilities in fields as diverse as biomedical image processing, document processing, industrial automation, understanding human perception, and the defence industries. The book is organized into secitons describing Model Driven Feature Extraction, Data Driven Feature Extraction, Neural Networks, Model Building, and Applications.

Industry Reviews

"This book shows the breadth of computer vision research, from low-level processing to high-level analysis and applications." Keith Price Computing Reviews, 1994

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Computer Vision Engineering & Technology Technology in General Engineering in General Booktopia Publisher Services World Scientific Publishing

Model Driven Feature Extraction
Minimal Subset Random Sampling for Pose Determination and Refinement	p. 1
Robust High Breakdown Estimation and Consensus	p. 23
Boundary Feature Extraction and Structural Verification of Objects	p. 35
On Circles and Circular Arcs Recognition	p. 63
Model-based Synthesis of Vision Routines	p. 79
Data Driven Feature Extraction
Wavelets and "Chirplets": Time-Frequency "Perspectives" with Applications	p. 99
Electromagnetic Models for Perceptual Grouping	p. 129
Using Complex Gabor Filters To Detect and Localize Edges and Bars	p. 151
Roof Edge Detection: A Morphological Skeleton Approach	p. 171
Representation of Visual Textural Pioperties	p. 193
Neural Networks for Image Analysis
Multiple-font Alpha-numeric Recognition using Multi-layer Neural Networks with a Rejection Function	p. 211
ARisTotle: A Neural Net Architecture for the Auto-classification, Grouping and Recognition of Partially Distorted Binary Images	p. 229
Perceptual and Geometric Model Building
Visuo-Tactual Coarseness Estimation Tasks: Experiments and Modeling	p. 257
3-D Object Model Synthesis in a Monocular Imaging System	p. 271
From Slice Data to Suggestive Parts	p. 289
Applications
A Microcomputer-based Supervised System for Automatic Scoring of Mitotic Index in Cytotoxicity Studies	p. 301
Analysis of Retinal Images Using Mathematical Morphology	p. 313
Behavior Based Robotic Assembly Using Vision	p. 329
A Multi-operator Approach for the Segmentation of 3-D Images of Dental Imprints	p. 343
Modelling Sonar Range Sensors	p. 361
Table of Contents provided by Blackwell. All Rights Reserved.

Advances in Machine Vision : Strategies and Applications

Strategies and Applications

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

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