A New Image Segmentation Method Based on Fractional-Varying-Order Differential

In order to solve the problem of image segmentation with intensity inhomogeneity, a new partial differential equation image segmentation model based on fractional-varying-order differen-tial is proposed. This model introduces an adaptive coefficient to set disparate differential order in-tervals for pixel with different gray values and use fractional-varying-order differential to process the input image combined with the CV model, then use a variety of image segmentation evaluation indicators, such as true positive (TP) rate, false positive (FP) rate, precision (P), Jaccard similar-ity (JS) rate, and Dice coefficient (DC) rate to measure the pros and cons of our model. The ex-perimental results show that our method is improved on the original basis, which is more condu-cive to us to obtain more image details and obtain better segmentation results.