![]() |
个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:力学与航空航天学院
学科:工程力学. 岩土与环境力学. 计算力学
办公地点:工程力学系308室
联系方式:13942691028
电子邮箱:shaolt@dlut.edu.cn
Segmentation of dense grain images based on level set model
点击次数:
论文类型:会议论文
发表时间:2010-01-01
收录刊物:Scopus
卷号:3
页面范围:1449-1452
摘要:In experimental soil mechanics, it is important to study the motion of sand grains under high pressures. Before measuring the movement and deformation of a fraction of sand, we should detect it at first. But it is very difficult to distinguish sands automatically from each other in a dense grain image. In this paper, an approach of segmentation based on level set is proposed for dense sand grain images. The appropriate initial position is essential for level set method. Firstly, we segment the sands by boundary exploration method. The gained contour outlines roughly the sand and is used as the initial position. And then level set is employed to obtain the exact shape. In order to improve the speed and avoid overshooting, an ending condition is designed. Several experiments are performed. The promising segmentation results can be obtained on dense grain images with this approach. ?2010 IEEE.