A Variational Level Set Model for Multiscale Texture Images Segmentation
To better segment texture images in multiscales,we propose a hybrid model.This model uses the total variation model to control the multiscale representation of texture images,and introduces local self-similarity and local Gaussian distribution fitting functions as boundary extraction items,ultimately obtaining a hybrid multiscale texture image segmentation model.Experimental results show that the proposed model can segment texture images well in different scales,making the segmentation process more consistent with the perception mechanism of human vision.When the image is contaminated by Gaussian noise to varying degrees,the model can also accurately extract the target boundary.
texture image segmentationmultiscaleactive contour modelvariational level set
万方数据
维普
