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Texture Segmentation Based on Gabor Filters and Neutrosophic Graph Cut
Image segmentation is the first step of image processing and image analysis. Texture segmentation is a challenging task in image segmentation applications. Neutrosophy has a natural ability to handle the indeterminate information. In this work, we investigate the texture image segmentation based on Gabor filters (GFs) and neutrosophic graph cut (NGC). We proposed an image segmentation approach, which applies GFs to gray-level images to extract image features matrix, and it segments them intofatcat:2tep3chambbrvk54skz5iqb7be