基于自适应射线群的图像边缘检测算法.PDF

37 4 2011 2 Vol.37 No.4 Computer Engineering February 2011 ·· 2011 A TP391.9 1 1 2 1 1 (1. () 100083 2. 100044) Image Edge Detection Algorithm Based on Adaptive Ray Group 1 1 2 1 1 ZHANG Guo-ying , MAO Hui , XU Ning , YANG Chen , MU Chun-jie (1. Dept of Computer, China University of Mine Technology, Beijing 100083, China; 2. Institute of Automation, Beijing General Institute of Mine Metallurgy, Beijing 100044, China) AbstractOwing to the problems of some images, such as bubble image, in which a lot of noises exist and objects mutually adhere and have high similarity. It is difficult to detect edge by watershed and threshold method. Ray-based image segmentation method is proposed, seed areas of image are extracted by visiting image only one time. After filtering noises, a number of symmetric rays from geometric center of seed regions are launched, the edge of bubbles is gotten by gray value of curve graph of every ray. Experimental results show that this method can amend fuzzy edge, and solve over-segmentation and poor accuracy problem. Key wordsray group; edge detection; seed area; denoising DOI: 10.3969/j.issn.1000-3428.2011.04.084 1 2 ( ) [1-3] 2.1