Fast Segmentation of Complex Texture Image Based on Fractional Order CV Model

To improve the segmentation effect of complex texture images, a fast segmentation method for complex texture images based on fractional CV model is proposed. On the basis of the fractional order CV model, the input image is divided into several compact, uniform and almost the same size super-pixel regions. The saliency value of the super-pixel region is enhanced by smoothing operation, and the global contrast of the complex texture image is calculated. The segmentation strategy from coarse to fine and step by step refinement is adopted. Finally, the segmentation algorithm is used to realize the segmentation of complex texture image. The experimental results show that this method can enhance the image segmentation effect, and the actual application effect is better.