吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (1): 311-317.doi: 10.13229/j.cnki.jdxbgxb201601047

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Novel method of evaluating image segmentation algorithms based on activity degree

ZHENG Xin, PENG Zhen-ming, XING Yan   

  1. School of Opto-Electronic Information, University of Electronic Science and Technology of China, Chengdu 610054, China
  • Received:2014-05-20 Online:2016-01-30 Published:2016-01-30

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Abstract: The excellent degree method is widely used in performance evaluation of image segmentation algorithms. However, this method ignores the influence of image quality. Hence, the results have no reference value to the overall performance evaluation of the segmentation algorithm or the comparison of different segmentation algorithms. To solve this problem, the image factors interfering with the performance of the segmentation algorithms were analyzed. Then, the metric Activity Degree of Image (ADI) was proposed to quantify these factors. Finally, based on the ADI, a performance evaluation method of the image segmentation algorithms was developed, named Weighted Excellent Degree (WED) method. Experiment results show that, compared with the current evaluation method, the WED method has higher consistency degree between evaluation results and subjective assessment, and better monotonicity between evaluation results and image qualities. Thus, the proposed WED method is more effective in performance evaluation of image segmentation algorithms than the current evaluation method.

Key words: information processing, image segmentation, performance evaluation, activity degree of image, weighted excellent degree

CLC Number: 

  • TN911.73
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