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Proceedings Paper

Feature Extraction From Intensity Images
Author(s): C. L. Huang; J. T. Tou
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Paper Abstract

This paper presents a new method to obtain the features from intensity images by making use of an improved Hough Transform. Through image preprocessing, the intensity image can be converted to a boundary image. A new approach is proposed to find the linear and elliptical features embedded in the boundary image on which there are discon-nectivities and the distortion that are caused either by occlusion or by noise. The Hough transform method is improved to recognize those features with less computation effort and more accuracy.

Paper Details

Date Published: 13 October 1987
PDF: 8 pages
Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); doi: 10.1117/12.976492
Show Author Affiliations
C. L. Huang, Unisys Co. (United States)
J. T. Tou, University of Florida (United States)


Published in SPIE Proceedings Vol. 0845:
Visual Communications and Image Processing II
T. Russell Hsing, Editor(s)

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