Color Edge Detection Based on YUV Space and Minimal Spanning Tree

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.