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Proceedings Paper

Segmentation of color images with highlights and shadows using fuzzy reasoning
Author(s): Ali Moghaddamzadeh; Nikolaos G. Bourbakis
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Paper Abstract

Segmentation is one of the most important image processing steps toward pattern recognition and image understanding and a significant step toward image compression and coding. In this paper, a fuzzy technique is presented that resolves several difficult issues related to image segmentation. The largest area of an image can be easily segmented and the association of most of the pixels to different segments determined from the edge information. It is, however, the pixels between segments and in high frequency areas whose relationship to adjacent segments is not so clear. These pixels can belong to the matte, highlight, or shadow area of the closest segment, or in association with neighboring pixels make up a smaller segment. the dichromatic reflection model is used to merge highlight and shadow areas with the matte ones. The approximate or fuzzy reasoning approach proposed here provides a more humanlike segmentation of images.

Paper Details

Date Published: 20 April 1995
PDF: 10 pages
Proc. SPIE 2411, Human Vision, Visual Processing, and Digital Display VI, (20 April 1995); doi: 10.1117/12.207548
Show Author Affiliations
Ali Moghaddamzadeh, SUNY/Binghamton (United States)
Nikolaos G. Bourbakis, SUNY/Binghamton (United States)
Univ. of Crete (Greece)

Published in SPIE Proceedings Vol. 2411:
Human Vision, Visual Processing, and Digital Display VI
Bernice E. Rogowitz; Jan P. Allebach, Editor(s)

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