Hill-Manipulation: An Effective Algorithm for Color Image Segmentation

Z. Al Aghbari and R.O. Al-Haj (UAE)


image segmentation, hill-manipulation, 3 D color histogram.


In cluster based image segmentation techniques, clusters may be viewed as hills in a histogram. These techniques may suffer from large hills that dominate the smaller hills and thus results in a loss of image details in the segmentation process. In this paper, we propose a novel approach, called hill-manipulation algorithm, to solve the problems of the traditional cluster-based image segmentation methods. The hill-manipulation algorithm is non-parametric. It starts by segmenting the 3-D color histogram into hills according to the number of local maxima found, and then each hill is checked for possible splitting. Finally, the resulting hills undergo a post processing task to filter out the small non-significant regions.

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