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Computer Vision and Image Processing
- 1st Edition - April 27, 1992
- Editor: Linda Shapiro
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 4 1 2 2 4 3 - 7
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 1 4 1 5 6 - 7
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.… Read more
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Request a sales quoteComputer 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.
Foreword
Contributors
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
Representation
Primitives Chain Code
Generalized Cones: Useful Geometric Properties
Vision-Based Rendering: Image Synthesis for Vision Feature Extraction
Recognition
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
Notes
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
- No. of pages: 638
- Language: English
- Edition: 1
- Published: April 27, 1992
- Imprint: Academic Press
- Paperback ISBN: 9780124122437
- eBook ISBN: 9780323141567