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Proceedings Paper

Fuzzy approach for smoothing and edge detection in color images
Author(s): Ali Moghaddamzadeh; Nikolaos G. Bourbakis
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Paper Abstract

Edge detection is one of the most important image processing steps towards image understanding. The resultant isolated regions or segments must be completely separated from their neighbors; that is, edges be continuous. Images must first be smoothed to remove noises. In this paper, a novel fuzzy smoother algorithm is presented which removes all camera noises and enhances edge contrasts. A fuzzy edge detection algorithm is then presented which is applied on the smoothed image. In this algorithm normalized hue in HSI and color contrast in RGB spaces are combined using an aggregate operator. Almost local maxima is then found for all edge directions and the results are combined. Finding another local maxima produces promising results.

Paper Details

Date Published: 23 March 1995
PDF: 13 pages
Proc. SPIE 2421, Image and Video Processing III, (23 March 1995); doi: 10.1117/12.205469
Show Author Affiliations
Ali Moghaddamzadeh, SUNY/Binghamton (United States)
Nikolaos G. Bourbakis, SUNY/Binghamton (USA) and Univ. of Crete (Greece)


Published in SPIE Proceedings Vol. 2421:
Image and Video Processing III
Robert L. Stevenson; Sarah A. Rajala, Editor(s)

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