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Proceedings Paper

Color image segmentation considering human sensitivity for color pattern variations
Author(s): Kuk-Jin Yoon; In-So Kweon
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Paper Abstract

Color image segmentation plays an important role in the computer vision and image processing area. In this paper, we propose a novel color image segmentation algorithm in consideration of human visual sensitivity for color pattern variations by generalizing K-means clustering. Human visual system has different color perception sensitivity according to the spatial color pattern variation. To reflect this effect, we define the CCM (Color Complexity Measure) by calculating the absolute deviation with Gaussian weighting within the local mask and assign weight value to each color vector using the CCM values.

Paper Details

Date Published: 5 October 2001
PDF: 10 pages
Proc. SPIE 4572, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision, (5 October 2001); doi: 10.1117/12.444191
Show Author Affiliations
Kuk-Jin Yoon, Korea Advanced Institute of Science and Technology (South Korea)
In-So Kweon, Korea Advanced Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 4572:
Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall, Editor(s)

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