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A Novel Adaptive Fractional Differential Active Contour Image Segmentation Method
Fractal and Fractional
When the image is affected by strong noise and uneven intensity, the traditional active contour models often cannot obtain accurate results. In this paper, a novel adaptive fractional differential active contour image segmentation method is proposed to solve the above problem. At first, in order to extract more texture parts of the image, an adaptively fractional order matrix is constructed according to the gradient information of the image, varying the fractional order of each pixel. Then, thedoi:10.3390/fractalfract6100579 fatcat:xkkqjtxp4bhltetvg5tedasz3i