A Algorithm of Medical Image Segmentation Based on Active Contour Model
In this paper, a new algorithm based on the active contour model for medical segmentation is presented. The deformable contour in the object is optimized by a different method of minimizing the energy function based on the greedy algorithm, a novel initialization algorithm to locate the initial contour has been developed. A new term for the internal energy and another one for external energy which solve common problems associated with classical active contour model in this type of images have been introduced. The internal energy of the model depends on local behavior of the contour, while the external energy is derived from image wavelet transform modulus maxima features. The algorithm is able to detect convex and concave object, Examples are presented to demonstrate the efficiency of the approach on spinal CT/MRI images and the results are encouraging.
Image segmentation Active contour models Snake Wavelet transform Modulus maxima
Haiyun Li Xiang Chen
Capital Medical University School of Biomedical Engineering, Beijing China,100069
国际会议
北京
英文
778-781
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）