摘要
图象分割是图象分析中的关健步骤。对图象分割的评价是研究分割技术性能的有效手段,其中分割质量测度起着重要作用。本文介绍一类新的客观质量测度并对其性能进行了比较研究。另外为了验证新测度的有效性,本文提出了一种比较合理全面的分割技术分类法。在此基础上选取各类技术中有代表性的算法借助新的质量测度进行了实际评价比较并取得了有意义的结果。
Image segmentation is a critical step of image analysis. Segmentation evaluation is an effective procedure for studying the performance of segmentation techniques, in which quality measure plays an important role. This paper presents a group of new objective quality measures for segmentation evaluation and compares their performances. In addition, to verify the effectiveness of these new measures, an appropriate classification of segmentation technique is proposed. According to this classification, several representative algorithms from different categories are selected for comparison with new quality measures. Some valuable results are obtained and presented.
基金
国家教委留学回国人员科研资助费
教委博士点基金
关键词
图象分割
分割评价
质量测度
算法分类
图象处理
Image segmentation, Segmentation evaluation, Quality measures, Algorithm classification
