Ebook: VLSI for Pattern Recognition and Image Processing
- Tags: Electronics and Microelectronics Instrumentation, Image Processing and Computer Vision, Pattern Recognition
- Series: Springer Series in Information Sciences 13
- Year: 1984
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
During the past two decades there has been a considerable growth in interest in problems of pattern recognition and image processing (PRIP). This inter est has created an increasing need for methods and techniques for the design of PRIP systems. PRIP involves analysis, classification and interpretation of data. Practical applications of PRIP include character recognition, re mote sensing, analysis of medical signals and images, fingerprint and face identification, target recognition and speech understanding. One difficulty in making PRIP systems practically feasible, and hence, more popularly used, is the requirement of computer time and storage. This situation is particularly serious when the patterns to be analyzed are quite complex. Thus it is of the utmost importance to investigate special comput er architectures and their implementations for PRIP. Since the advent of VLSI technology, it is possible to put thousands of components on one chip. This reduces the cost of processors and increases the processing speed. VLSI algorithms and their implementations have been recently developed for PRIP. This book is intended to document the recent major progress in VLSI system design for PRIP applications.
Content:
Front Matter....Pages I-XII
Introduction....Pages 1-5
Front Matter....Pages 7-7
One-Dimensional Systolic Arrays for Multidimensional Convolution and Resampling....Pages 9-24
VLSI Arrays for Pattern Recognition and Image Processing: I/O Bandwidth Considerations....Pages 25-42
Front Matter....Pages 43-43
VLSI Arrays for Minimum-Distance Classifications....Pages 45-63
Design of a Pattern Cluster Using Two-Level Pipelined Systolic Array....Pages 65-83
VLSI Arrays for Syntactic Pattern Recognition....Pages 85-104
Front Matter....Pages 105-105
Concurrent Systems for Image Analysis....Pages 107-132
VLSI Wavefront Arrays for Image Processing....Pages 133-155
Curve Detection in VLSI....Pages 157-173
VLSI Implementation of Cellular Logic Processors....Pages 175-194
Design of VLSI Based Multicomputer Architecture for Dynamic Scene Analysis....Pages 195-208
VLSI-Based Image Resampling for Electronic Publishing....Pages 209-229
Back Matter....Pages 231-236
Content:
Front Matter....Pages I-XII
Introduction....Pages 1-5
Front Matter....Pages 7-7
One-Dimensional Systolic Arrays for Multidimensional Convolution and Resampling....Pages 9-24
VLSI Arrays for Pattern Recognition and Image Processing: I/O Bandwidth Considerations....Pages 25-42
Front Matter....Pages 43-43
VLSI Arrays for Minimum-Distance Classifications....Pages 45-63
Design of a Pattern Cluster Using Two-Level Pipelined Systolic Array....Pages 65-83
VLSI Arrays for Syntactic Pattern Recognition....Pages 85-104
Front Matter....Pages 105-105
Concurrent Systems for Image Analysis....Pages 107-132
VLSI Wavefront Arrays for Image Processing....Pages 133-155
Curve Detection in VLSI....Pages 157-173
VLSI Implementation of Cellular Logic Processors....Pages 175-194
Design of VLSI Based Multicomputer Architecture for Dynamic Scene Analysis....Pages 195-208
VLSI-Based Image Resampling for Electronic Publishing....Pages 209-229
Back Matter....Pages 231-236
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