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

摘要

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.