OBJECTIVE IMAGE QUALITY MEASURES AND THEIR APPLICATIONS IN SEGMENTATION EVALUATION
客观的图象质量测度及其在分割评价中的应用

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.