Color Edge Detection Based on YUV Space and Minimal Spanning Tree

摘要：

A novel color edge detection approach based on YUV space and minimal spanning tree is proposed, which treats the pixels of color images as vectors in YUV space, and uses the idea of minimal spanning tree in graph theory to process them. The experiments carried out show that the strengths of detected edges are clear and precise, reflecting the intensity of actual edges. The final edge results are obtained by automatic fast entropy thresholding algorithm.

关键词： YUV space minimal spanning tree color image edge detection

作者: Runsheng Ji Bin Kong Fei Zheng Jun Gao

作者单位: Center for Biomimetic Sensing and Control Research Institute of Intelligent Machines Chinese Academy of Sciences Hefei ,Anhui Province, China;Department of Automation University of Science and Technology of China Hefei ,Anhui Province, China

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 941-945

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）