Zhang Yujin. OBJECTIVE IMAGE QUALITY MEASURES AND THEIR APPLICATIONS IN SEGMENTATION EVALUATION[J]. Journal of Electronics & Information Technology, 1997, 19(1): 1-5.
Citation:
Zhang Yujin. OBJECTIVE IMAGE QUALITY MEASURES AND THEIR APPLICATIONS IN SEGMENTATION EVALUATION[J]. Journal of Electronics & Information Technology, 1997, 19(1): 1-5.
Zhang Yujin. OBJECTIVE IMAGE QUALITY MEASURES AND THEIR APPLICATIONS IN SEGMENTATION EVALUATION[J]. Journal of Electronics & Information Technology, 1997, 19(1): 1-5.
Citation:
Zhang Yujin. OBJECTIVE IMAGE QUALITY MEASURES AND THEIR APPLICATIONS IN SEGMENTATION EVALUATION[J]. Journal of Electronics & Information Technology, 1997, 19(1): 1-5.
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.
Fu K S, Mui J K. A sruvey on image segmentation[J].Pattern Recognition.1981, 13(1):3-16[2]Pal N R, Pal S K. A review on image segmentation techniques. Pattern Recognition, 1993, 26(9): 1272-1294.[3]Zhang Y J, Gerbrands J J. Segmentation evaluation using ultimate measurement accuracy[J].SPIE.1992, 1657(1):449-460[4]Pal N R, Bhandati D. Image thresholding: Some new techniques[J].Signal Processing.1993, 33(1):139-158[5]Zhang Y J. Segmentation evaluation and comparison: A study of various algorithms[J].SPIE.1993, 2094(2):801-812[6]Gerbrands J J. Segmentation of noisy images:[Doctoral thesis]. The Netherlands: Delft University, 1988.[7]Zhang Y J, Gerbrands J J, Back E. Thresholding three-dimensional image[J].SPIE.1990, 1360(3):1258-1269[8]Strasters K, Gerbrands J J. Three-dimensional image segmentation using a split, merge and group[9]approach. Pattern Recognition Letters, 1991, 12(5): 307-325.