access icon free Model for smoothing and segmentation of texture images using norm

© The Institution of Engineering and Technology
Received 01/03/2017, Accepted 29/10/2017, Revised 09/10/2017, Published 03/11/2017

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.

Inspec keywords: image texture; smoothing methods; image segmentation; minimisation

Other keywords: L0 gradient norm; image smoothng; alternating minimisation algorithm; image processing; Chan–Vese energy; texture image segmentation

Subjects: Filtering methods in signal processing; Optical, image and video signal processing; Optimisation techniques; Computer vision and image processing techniques; Optimisation techniques

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