Study of snake based on corner on image segmentation
Qingchang Guo · Computer Engineering and Applications Journal · 2007
The image segmentation is studied according the snake model based on the corner. The traditional snake model only applies the features of the curve, which did not adequately apply the feature of the image. But in the algorithm, the corners of the detected object is detected based on the MIC operator; the initialized curve is set based on the corners; the object is fitted according on the snake model. The traditional snake model highly depended on the initialized position of the curve and can not get well fitted effort for the image which has the corners and concaves. The proposed algorithm preferably solve the drawbacks. The experiment proves that the algorithm has very good segmentation efforts.