Histogram-based segmentation in a perceptually uniform color space

Abstract—In this work, we present a segmentation algorithm for color images that uses the watershed algorithm to segment either the twodimensional (2-D) or the three-dimensional (3-D) color histogram of an image. For compliance with the way humans perceive color, this segmentation has to take place in a perceptually uniform color space like the Luv space. To avoid oversegmentation, the watershed algorithm has to be applied to a smoothed histogram.