Fast Color Image Segmentation Based on Levellings in Feature Space
نویسندگان
چکیده
This paper presents a morphological classifier with application to color image segmentation. The basic idea of a morphological classifier is to consider a color histogram as a 3-D gray-level image, so that morphological operators can be applied to it. The final objective is to extract clusters in color space, that is, identify regions in the 3-D image. In this paper, we particularly focus on a powerful class of morphology-based filters called levellings to transform the 3D histogram-image to identify clusters. We also show that our method gives better results than other state-of-the-art methods.
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