Color image segmentation considering human sensitivity for color pattern variations
Kuk‐Jin Yoon, In-So Kweon · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
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.