Computer Vision and Image Processing - 1st Edition - ISBN: 9780126386608, 9780323141567

Computer Vision and Image Processing

1st Edition

Editors: Linda Shapiro
eBook ISBN: 9780323141567
Imprint: Academic Press
Published Date: 27th April 1992
Page Count: 638
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Computer Vision and Image Processing contains review papers from the Computer Vision, Graphics, and Image Processing volume covering a large variety of vision-related topics. Organized into five parts encompassing 26 chapters, the book covers topics on image-level operations and architectures; image representation and recognition; and three-dimensional imaging. The introductory part of this book is concerned with the end-to-end performance of image gathering and processing for high-resolution edge detection. It proposes methods using mathematical morphology to provide a complete edge detection process that may be used with any slope approximating operator. This part also discusses the automatic control of low-level robot vision, presents an image partitioning method suited for parallel implementation, and describes invariant architectures for low-level vision. The subsequent two sections present significant topics on image representation and recognition. Topics covered include the use of the primitives chain code; the geometric properties of the generalized cone; efficient rendering and structural-statistical character recognition algorithms; multi-level thresholding for image segmentation; knowledge-based object recognition system; and shape decomposition method based on perceptual structure. The fourth part describes a rule-based expert system for recovering three-dimensional shape and orientation. A procedure of intensity-guided range sensing to gain insights on the concept of cooperative-and-iterative strategy is also presented in this part. The concluding part contains supplementary texts on texture segmentation using topographic labels and an improved algorithm for labeling connected components in a binary image. Additional algorithms for three-dimensional motion parameter determination and surface tracking in three-dimensional binary images are also provided.

Table of Contents



Image-Level Operations and Architectures

Image Gathering and Processing for High-Resolution Edge Detection

On the Use of Morphological Operators in a Class of Edge Detectors

A Valley-Seeking Threshold Selection Technique

Local Characteristics of Binary Images and Their Application to the Automatic Control of Low-level Robot Vision

Corner Detection and Localization in a Pyramid

Parallel-Hierarchical Image Partitioning and Region Extraction

Invariant Architectures for Low-Level Vision


Primitives Chain Code

Generalized Cones: Useful Geometric Properties

Vision-Based Rendering: Image Synthesis for Vision Feature Extraction


Investigation of a Number of Character Recognition Algorithms

Log-Polar Mapping Applied to Pattern Representation and Recognition

Pattern Recognition of Binary Image Objects Using Morphological Shape Decomposition

A Pattern Classification Approach to Multilevel Thresholding for Image Segmentation

KOR: A Knowledge-Based Object Recognition System

Shape Decomposition Based on Perceptual Structure

Three Dimensional

The Frobenius Metric in Image Registration

Binocular Fusion Revisited Utilizing a Log-Polar Tessellation

An Expert System for Recovering 3D Shape and Orientation from a Single View

Integrating Intensity and Range Sensing to Construct 3-D Polyhedra Representations


Texture Segmentation Using Topographic Labels

An Improved Algorithm for Labeling Connected Components in a Binary Image

A Note on the Paper "The Visual Potential: One Convex Polygon"

A String Descriptor for Matching Partial Shapes

Formulation and Error Analysis for a Generalized Image Point Correspondence Algorithm

A New Surface Tracking System in 3D Binary Images


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© Academic Press 1992
Academic Press
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About the Editor

Linda Shapiro

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