Computer Science ›› 2015, Vol. 42 ›› Issue (8): 40-43.

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Variational Level Set Method for Image Segmentation Based on Improved Signed Pressure Force Function

CAO Jun-feng, WU Xiao-jun and CHEN Su-gen   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In order to handle the problem of inaccurate moving of contour which results in the wrong segmentation of the image with weak boundary and intensity inhomogeneity,a variational level set method for image segmentation based on improved signed pressure force function combined with the statistical information of image was proposed in this paper.Firstly,a new model of active contours is constructed by using a new pressure sign function to replace the edge function.Secondly,the algorithm maintains the merits of geodesic active contour(GAC) model and chan-vese(C-V) model and makes the level set function stop evolution in the boundary of the target image.Finally,simulation experiments were implemented on images with poor boundaries and intensity inhomogeneity.Experimental results show the proposed model has high computational efficiency and accuracy.Furthermore,it is robust to noise.

Key words: Active contour model,Level set,Signed pressure force,Statistical information

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