文献类型：会议论文

英文题名：Detection and linking algorithm based on improved snake model for pores with weak contour

作者：Yu, Jian Feng[1];Zhu, Yu[1];Ding, Xian Yun[1];Zhang, Chen[1]

机构：[1]E China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

会议论文集：1st International Conference on High Performance Structures and Materials Engineering

会议日期：MAY 05-06, 2011

会议地点：Beijing, PEOPLES R CHINA

语种：英文

外文关键词：Snake; Edge detection; ACF images; Snake model

摘要：For the pores edge detecting of the Activated Carbon Fibers (ACF) material images, traditional approaches are difficult to obtain the complete edge information. Snake algorithm is a reasonable approach for edge detection. An improved initial contour Snake model is proposed in this paper. A rectangle is first located to surround the edge to be detected instead of drawing a series of points as initial contour. Then, we map these points on the rectangle to the edge surrounded according to certain rule to constitute the initial contour. After the mapping strategy, Snake algorithm is used to iterate the initial contour. Experiments show that complete pores edge information are achieved. Based on the edge pixels, the area of each pores can be calculated easily.