Image Edge Detection Based on Maximum Variations

摘要：

Edge detection plays an important role in image processing. The classical gradient operators remain their few answers to little marked edges. An improved edge detection method based on maximum variations is presented in this paper. When detecting the edge, the algorithm enhances the variations at weak edge pixels, but doesnt enhance the variations within an object. So the algorithm can detect the little marked edges in the image. The theory analysis and experiments also prove the present algorithm is reasonable and effective.

关键词： component Edge Detection Little Marked Edge Maximum Variations Algorithm

作者: Qinghua Lin Min Du

作者单位: College of Electrical Engineering and Automation, Fuzhou University,Fujian, China Fujian Key Lab of Medical Instrument and Pharmaceutical Technology, Fuzhou University,Fujian, China

会议类型: 国际会议

会议名称: 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)

会议地点: 上海

会议语种:英文

页码: 1270-1272

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）