Rapid and Brief Communication: GACV: Geodesic-Aided C-V method

Authors:
Li Chen;Yue Zhou;Yonggang Wang;Jie Yang
Affiliations:
Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200240, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200240, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200240, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200240, China
Venue:
Pattern Recognition
Year:
2006

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Abstract

A novel algorithm for image segmentation is proposed. The proposed method incorporates geodesic curves and C-V method to raise active contours' performance on image segmentation. Moreover, we extend our method to color images. By practical experiments, it is verified that our model obtains better results than original methods, especially with respect to images within holes, complex background, weak edges, and noise.