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Proceedings Paper

Chromatic boundary detection by integrating adaptive smoothing and vector gradient approach
Author(s): Soo-Chang Pei; Ching Min Cheng
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Paper Abstract

Chromatic boundaries are edges caused by material changes. To detect these boundaries in the color images, chromatic information must be used. In this paper, we present an integration algorithm to combine adaptive smoothing technique and vector gradient approach together. Simulation results show that the integration algorithm earns the benefits of both adaptive smoothing technique and vector gradient approach. It can detect chromatic boundaries effectively and smooth out the variations within chromatic boundaries. Whether input color images are contaminated noise or not, the integration algorithm performs better than both adaptive smoothing for intensity image and vector gradient approach.

Paper Details

Date Published: 21 April 1995
PDF: 12 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206691
Show Author Affiliations
Soo-Chang Pei, National Taiwan Univ. (Taiwan)
Ching Min Cheng, Telecommunication Labs. (Taiwan)

Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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