A Level-Set and Gabor-based Active Contour Algorithm for Segmenting Textured Images

This paper applies the authors’ previously proposed vector valued active contour without edges model to segment textured images. The model uses a level set implementation and can detect edges without the use of gradient information, making it natural for use in textured image segmentation. Multiple Gabor transforms of the original image are used to discriminate textures. We show numerical results for segmentation and discrimination of textures, using supervised and unsupervised forms of the model.

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