A survey on evaluation methods for image segmentation

PATTERN RECOGNITION

卷:29

Article

Zhang, YJ

关键词: image analysis;    image segmentation;    segmentation evaluation;    analytical and empirical study;    performance assessment;    criteria function;    algorithm comparison;    image quality measure;    method characterization;   

DOI  :  10.1016/0031-3203(95)00169-7

来源: Elsevier

【 摘 要 】

This paper studies different methods proposed so far for segmentation evaluation. Most methods can be classified into three groups: the analytical, the empirical goodness and the empirical discrepancy groups. Each group has its own characteristics. After a brief description of each method in every group, some comparative discussions about different method groups are first carried out. An experimental comparison for some empirical (goodness and discrepancy) methods commonly used is then performed to provide a rank of their evaluation abilities. In addition, some special methods are also discussed. This study is helpful for an appropriate use of existing evaluation methods and for improving their performance as well as for systematically designing new evalution methods. Copyright (C) 1996 Pattern Recognition Society. Published by Elsevier Science Ltd.

【 授权许可】

Free