An improved algorithm for the piecewise-smooth Mumford and Shah model in image segmentation

Authors:
Yingjie Zhang
Affiliations:
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an Shaanxi, China
Venue:
EURASIP Journal on Bioinformatics and Systems Biology
Year:
2006

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Abstract

An improved algorithm for the piecewise-smooth Mumford and Shah functional is presented. Compared to the previous work of Chan and Vese, and Choi et al, extensions of the key functions u± are replaced by updating the level set function based on an artificial image that is composed of the diffused image and the original image. The low convergence problem of the classical algorithm is efficiently solved in the proposed approach. The resulting algorithm has also been demonstrated by several cases.