Model for smoothing and segmentation of texture images using L0 norm

Segmentation of texture images is always a challenging problem in image processing. The authors propose a novel model for segmentation of texture images based on L-0 gradient norm. The model will do smoothing of texture in image and segmentation jointly. It is well known that L-0 gradient norm smooths the image and preserve the edges. Keeping this in view, the proposed model is using L-0 gradient norm for smoothing of texture in image and Chan-Vese energy for segmentation. For fast and efficient solution of the model, the authors use alternating minimisation algorithm. Experimental results of their proposed model, which are compared with well-known (state of the art) existing models, validate better performance of the proposed model.