Abstract
In this paper, a novel algorithm is proposed for unsupervised segmentation that incorporates a local trinary pattern (LTP) operator representation of textures under a geometric active contour framework. First, by combining the gray levels of pixels with texture information of an image, this method can be used for segmentation of a texture image or a nontexture image. And then, the method is modified to avoid the additional computation problem without re-initialization repeatedly. The simulation experiments show that the proposed segmentation method is more efficient, accurate and fast.
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