客观的图象质量测度及其在分割评价中的应用
OBJECTIVE IMAGE QUALITY MEASURES AND THEIR APPLICATIONS IN SEGMENTATION EVALUATION
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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。Abstract: 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 egmentation evaluation and compares their performances. In addition, to verify the effectiveness of these new measures, an appropriate classification of segmentation is proposed. According to this classification, several representative algorithms from different categories are selected for comparison testing. Some valuable results are obtained and presented.
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