Journal
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
Volume 48, Issue -, Pages 234-247Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.bspc.2018.09.017
Keywords
Active contours; Texture images; Level set; Partial differential equation; Additive operator splitting method
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Segmentation of texture images is an active area of image processing. Selective segmentation is the process of extracting a region of interest (ROI) in the image. In this paper, we propose a new model for selective segmentation of texture images, by incorporating geometrical constraints after smoothing the texture in image. The proposed model uses L-0 norm for smoothing of the texture and Badshah-Chen energy with local Gaussian kernel data fitting for selective segmentation. The proposed model is minimized to get gradient descent through Euler Lagrange's equation, which is then discretized through finite differences and the corresponding difference equation is solved by using additive operator splitting method. Experimental results of the proposed model are compared with the existing selective segmentation models and related models which are not based on selective segmentation. The model is further tested on medical images. (C) 2018 Elsevier Ltd. All rights reserved.
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