Eztracting Boundaries of Ultrasonic Breast Tumor Images Based on a Coarse-to-Fine Active Contour Model
Segmentation of ultrasonic breast tumor images is a challenging topic in the clinical practice. A novel coarse-to-fine active contour (CFAC) model is proposed to extract boundaries of breast tumors based on a level-set framework. To apply the CFAC model, a Gaussian pyramid is firstly constructed to represent images at different resolution levels. Then, on the top pyramid level a region-based segmentation algorithm incorporating with the certain edge information is used to get a coarse boundary. Finally, the coarse boundary is gradually refined on other higher-level images according to the more detailed gradient information. Experiments are performed on both synthetic and real ultrasonic breast tumor images. The qualitative and quantitative results verified the efficiency of the CFAC model for the image segmentation task.
Xiaoshuang Yang Yuanyuan Wang
Department of Electronic Engineering, Fudan University, Shanghai, China
国际会议
2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
157-162
2008-07-07（万方平台首次上网日期，不代表论文的发表时间）