Morphological gradient applied to new active contour model for color image segmentation
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Object segmentation based on location information for level set method
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
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A novel geometric active contour model for color images is proposed in this paper. It combines the new edge detector for color images together with the Chan-Vese minimal variance criterion and geodesic active contour without re-initialization. The new edge detector for color images is more precise than the original edge detector and the Chan-Vese minimal variance criterion can promote the evolution velocity. Experimental results on real color images have shown that the new model can shorten the evolution time compared with geodesic active contours model and can extract contours of objects in images more precisely than Chan-Vese model.