Abstract
In this paper, we propose a novel method for unsupervised color-texture segmentation. The approach aims at combining color and texture features and active contours to build a fully automatic segmentation algorithm. By fully automatic, we mean the steps of region initialization and calculation of the number of regions are performed automatically by the algorithm. Furthermore, the approach combines boundary and region information for accurate region boundary localization. We validate the approach by examples of synthetic and natural color-texture image segmentation.
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Allili, M.S., Ziou, D. (2006). Automatic Color-Texture Image Segmentation by Using Active Contours. In: Zheng, N., Jiang, X., Lan, X. (eds) Advances in Machine Vision, Image Processing, and Pattern Analysis. IWICPAS 2006. Lecture Notes in Computer Science, vol 4153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11821045_52
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DOI: https://doi.org/10.1007/11821045_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37597-5
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