A Measure for Objective Evaluation of Image Segmentation Algorithms
暂无分享,去创建一个
Martial Hebert | Ranjith Unnikrishnan | Caroline Pantofaru | M. Hebert | C. Pantofaru | R. Unnikrishnan | Ranjith Unnikrishnan
[1] Jacob Cohen. A Coefficient of Agreement for Nominal Scales , 1960 .
[2] C. Mallows,et al. A Method for Comparing Two Hierarchical Clusterings , 1983 .
[3] Ian T. Jolliffe,et al. A Method for Comparing Two Hierarchical Clusterings: Comment , 1983 .
[4] Qian Huang,et al. Quantitative methods of evaluating image segmentation , 1995, Proceedings., International Conference on Image Processing.
[5] Jitendra Malik,et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[6] Jitendra Malik,et al. An empirical approach to grouping and segmentation , 2002 .
[7] P. Jonathon Phillips,et al. Empirical Evaluation Methods in Computer Vision , 2002 .
[8] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[9] Xavier Cufí,et al. Yet Another Survey on Image Segmentation: Region and Boundary Information Integration , 2002, ECCV.
[10] Henk L. Muller,et al. Evaluating Image Segmentation Algorithms Using the Pareto Front , 2002, ECCV.
[11] Marina Meila,et al. Comparing Clusterings by the Variation of Information , 2003, COLT.
[12] Pascal Bamford,et al. Automating cell segmentation evaluation with annotated examples , 2003 .
[13] Martial Hebert,et al. Measures of Similarity , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.