Third International Conference on Document Analysis and Recognition (ICDAR'95) - Volume 2 Circular histogram thresholding for color image segmentation Montr?al, Canada August 14-August 15 ISBN: 0-8186-7128-9
A circular histogram thresholding for color image segmentation is proposed. A circular hue histogram is first constructed based on a UCS (I,H,S) color space. The histogram is automatically smoothed by a scale-space filter, then transformed into traditional histogram form, and finally recursively thresholded based on the maximum principle of variance. Three comparisons of performance are reported: (i) the proposed thresholding on the circular histogram with that on a traditional histogram; (ii) the proposed thresholding with clustering; and (iii) thresholding based on a UCS hue attribute with that based on a non-UCS hue attribute. Benefits of the proposed approach are confirmed in experiments.
Index Terms:
image segmentation; circular histogram thresholding; color image segmentation; circular hue histogram; color space; scale-space filter; maximum principle of variance; intensity images; brightness adaptation; chromatic variations
Citation:
Din-Chang Tseng, Yao-Fu Li, Cheng-Tan Tung, "Circular histogram thresholding for color image segmentation," icdar, vol. 2, pp.673, Third International Conference on Document Analysis and Recognition (ICDAR'95) - Volume 2, 1995 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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