SYMMETRY DETECTION OF CT IMAGES USING LINE HOUGH TRANSFORM

摘要：

　　Symmetry is of great importance in digital image processing. Detection of cerebral axis of symmetry can apply to many aspects as a preprocessing means. In this article, we detect edges in the CT images at first. Obviously, line edges and curve edges are both included. Then we extract the line edges of all the edges to be the symmetry axis of brain CT images. On the basis of this idea, we detect symmetry of CT images using edge detection with different edge detectors and line detection using Hough transform. The result of detecting shows that different edge detector has different influence in symmetric axis. At last, a detailed discussion is made to explain the consequence.

关键词： Hough transform symmetry detection edge detector CT images

作者: Qinghua Pang Bo Wu Yanchen Xie Nan Zhang

作者单位: Biomedical Engineering School, Capital Medical University, China Beijing Friendship Hospital, Capital Medical University, China

会议类型: 国际会议

会议名称: The 7th Asia Pacific Association for Medical Informatics Conference(第七届亚太医药信息学大会(APAMI2012))

会议地点: 北京

会议语种:英文

页码: 1-5

在线出版日期: 2012-10-24（万方平台首次上网日期，不代表论文的发表时间）