Abstract
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 3- D 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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Geraud, T., Palma, G., Van Vliet, N. (2006). FAST COLOR IMAGE SEGMENTATION BASED ON LEVELLINGS IN FEATURE SPACE. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_116
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DOI: https://doi.org/10.1007/1-4020-4179-9_116
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