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Picture Processing by Computer

Picture Processing by Computer Picture Processing by Computer AZRIELROSENFELD University of Maryland, College Park, Maryland Techniques for processing pictorial information by computer are surveyed. The topics covered include efficient encoding and approximation; position-invariant operations and applications; picture properties useful for pattern recognition; picture segmentation and geometrical properties of picture subsets; picture descrlptmn and "picture languages." Key words and phrases: pmture processing, image processing, pattern recognition, bandwidth compression, efficient encoding, approximation, position-invariant operation, parallel computers, optical computers, matched filtering, template matching, spatml filtering, image restoration, image enhancement, picture properties, segmentation, geometrical pro perties, picture description, picture languages CR categories" 3 63 INTRODUCTION As a further restriction, we will be concerned only with pictures as two-dimenOver the past 15 years, much effort has swnal objects; this excludes pictorial repbeen devoted to developing methods of resentation of three spatial dimensions processing pictorial information by com- (stereopairs, contour maps, the hidden puter. This work has had a number of line problem, etc.), as well as time-varying different goals, among them television pictorial information (e.g. on-line characbandwidth compression, image "enhance- ter recognition in real time). We will not ment" and "restoration," and pictorial d~scuss techniques for computer input or pattern recognition Most of the studies in output http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Computing Surveys (CSUR) Association for Computing Machinery

Picture Processing by Computer

Rosenfeld, Azriel
ACM Computing Surveys (CSUR) , Volume 1 (3) – Sep 1, 1969
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Publisher
Association for Computing Machinery
Copyright
Copyright © 1969 by ACM Inc.
ISSN
0360-0300
DOI
10.1145/356551.356554
Publisher site
See Article on Publisher Site

Abstract

Picture Processing by Computer AZRIELROSENFELD University of Maryland, College Park, Maryland Techniques for processing pictorial information by computer are surveyed. The topics covered include efficient encoding and approximation; position-invariant operations and applications; picture properties useful for pattern recognition; picture segmentation and geometrical properties of picture subsets; picture descrlptmn and "picture languages." Key words and phrases: pmture processing, image processing, pattern recognition, bandwidth compression, efficient encoding, approximation, position-invariant operation, parallel computers, optical computers, matched filtering, template matching, spatml filtering, image restoration, image enhancement, picture properties, segmentation, geometrical pro perties, picture description, picture languages CR categories" 3 63 INTRODUCTION As a further restriction, we will be concerned only with pictures as two-dimenOver the past 15 years, much effort has swnal objects; this excludes pictorial repbeen devoted to developing methods of resentation of three spatial dimensions processing pictorial information by com- (stereopairs, contour maps, the hidden puter. This work has had a number of line problem, etc.), as well as time-varying different goals, among them television pictorial information (e.g. on-line characbandwidth compression, image "enhance- ter recognition in real time). We will not ment" and "restoration," and pictorial d~scuss techniques for computer input or pattern recognition Most of the studies in output

Journal

ACM Computing Surveys (CSUR) – Association for Computing Machinery

Published: Sep 1, 1969

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