Color image segmentation considering human sensitivity for color pattern variations

Kuk-Jin Yoon; In-So Kweon

doi:10.1117/12.444191

5 October 2001 Color image segmentation considering human sensitivity for color pattern variations

Kuk-Jin Yoon, In-So Kweon

Proceedings Volume 4572, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision; (2001) https://doi.org/10.1117/12.444191
Event: Intelligent Systems and Advanced Manufacturing, 2001, Boston, MA, United States

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.

Citation Download Citation

Kuk-Jin Yoon and In-So Kweon "Color image segmentation considering human sensitivity for color pattern variations", Proc. SPIE 4572, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision, (5 October 2001); https://doi.org/10.1117/12.444191

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