Journal Article10.1016/S0146-664X(75)80005-0
Picture processing: 1974
20
TL;DR: Topics covered include picture compression; image enhancement and reconstruction; picture matching, edge and curve detection; picture processing implementations; pictorial pattern recognition; picture properties; picture parts and picture description; picture automata and grammars.
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About: This article is published in Computer Graphics and Image Processing. The article was published on 01 Jun 1975.
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Citations
Automated Visual Inspection: A Survey
Roland T. Chin,Charles A. Harlow +1 more
TL;DR: A number of applications and their inspection methodologies are discussed in detail: the inspection of printed circuit boards, photomasks, integrated circuit chips.
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Pattern Recognition and Image Processing
King-Sun Fu,Rosenfeld +1 more
TL;DR: A very brief survey of recent developments in basic pattern recognition and image processing techniques is presented.
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Image pattern recognition
Azriel Rosenfeld
- 01 May 1981
TL;DR: The general goal of image pattern recognition is to generate descriptions of images, and relate those descriptions to models characterizing classes of images as discussed by the authors, which is a technique-oriented viewpoint.
89
Preprocessing techniques for cursive script word recognition
M.K. Brown,S. Ganapathy +1 more
TL;DR: Results obtained from this study are promising and suggest that closed-loop verification is a potentially more useful technique than previous open-loop processing approaches.
83
Image improvement and three-dimensional reconstruction using holographic image processing
G.W. Stroke,M. Halioua,F. Thon,D.H. Willasch +3 more
- 01 Jan 1977
TL;DR: In this paper, an analysis of optical versus digital computing for image improvement and synthesis in electron microscopy and X-ray crystallography applications is presented, and examples for the improvement of resolution and 3D reconstruction are given.
41
References
Textural Features for Image Classification
Robert M. Haralick,K. Shanmugam,Its'hak Dinstein +2 more
- 01 Nov 1973
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
23.6K
Discrete Cosine Transform
TL;DR: In this article, a discrete cosine transform (DCT) is defined and an algorithm to compute it using the fast Fourier transform is developed, which can be used in the area of digital processing for the purposes of pattern recognition and Wiener filtering.
5.1K
Computer Processing of Line-Drawing Images
TL;DR: Various forms of line drawing representation are described, different schemes of quantization are compared, and the manner in which a line drawing can be extracted from a tracing or a photographic image is reviewed.
1.5K
The effects of a visual fidelity criterion of the encoding of images
J. Mannos,D. Sakrison +1 more
TL;DR: This investigation has considered a class of distortion measures for which it is possible to simulate the optimum (in a rate-distortion sense) encoding and found one distortion measure was fairly consistently rated as yielding the most satisfactory appearing encoded images.
1.2K