An Active Contour Method for Tubular Object Segmentation
There are many tubular objects in image segmentation problems, such as vessel, road, and river and so on. In this paper, an active contour method is proposed for tubular object segmentation. This method is inspired by capillarity and based on the tubular structure enhancement. We get the tubular structure response direction as well as the response intensity by analyzing the Hessian matrices, and the response result is incorporated in the active contour model to control the curves evolution just along the tubular objects extend direction. This active contour method is fit for tubular object segmentation, the experiments results valid our method.
tubular object enhancement segmentation curve evolution capillarity
Linlin Zhu Huijie Fan Yandong Tang Jianda Han Rouxi Li
State key Laboratory of Robotics, Shenyang Institute of Automation, CAS Shenyang, china Department of OphthalmologyThe Fourth Peoples Hospital of Shenyang Shenyang, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1198-1202
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）