A New Objective Evaluation Method on Image Edge Detection

In the field of machine vision, image edge detection is an important technology, which can make necessary preparation for the later image processing. Consequently, accurate evaluation of the edge detection effect of the processed image is a more critical technology. In this paper, the new three criteria are proposed, which is based on Canny's three criteria for edge detection. Through theoretical analysis, three quantitative basic evaluation indexes are given to the new three criteria, namely SSIM index of image reconstruction similarity, BIdx index of edge reliability and CIdx index of edge continuity. Additionally, noise evaluation criteria is also considered. Then the four basic evaluation indexes are fused to get the objective evaluation index EIdx of image edge detection. Finally, the experimental data show that the accuracy of the method is better than that of the subjective evaluation system.