Normalized cut segmentation algorithm combined with fractional differential

Fractional differential is used to adjust the affinity matrix of the image and to extract more useful edge and texture information. A graph is constructed for the original image with edge and texture information calculated with fractional differential, and the Laplacian matrix is obtained and the eigenvector corresponding to the second eigenvalue is classified to get the final segmentation results. Experimental results show that the proposed method can extract more fine details, preserve more useful information and get more accurate results.