A New Quality Measure for Image Segmentation Based on Combination of Information Redundancy and Variation of Information

被引:0
作者
D. M. Murashov
机构
[1] Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences,
来源
Pattern Recognition and Image Analysis | 2022年 / 32卷
关键词
image segmentation; segmentation quality; information redundancy measure; variation of information; combined measure; multiobjective optimization;
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学科分类号
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页码:600 / 606
页数:6
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共 24 条
[1]  
Achanta R.(2012)SLIC superpixels compared to state-of-the-art superpixel methods IEEE Trans. Pattern Anal. Mach. Intell. 34 2274-2282
[2]  
Shaji A.(2011)Contour Detection and Hierarchical Image Segmentation IEEE Trans. Pattern Anal. Mach. Intell. 33 898-916
[3]  
Smith K.(2017)EFA-BMFM: A multi-criteria framework for the fusion of colour image segmentation Inf. Fusion 38 104-121
[4]  
Lucchi A.(2014)A label field fusion model with a variation of information estimator for image segmentation Inf. Fusion 20 7-20
[5]  
Fua P.(2015)Multi-objective grey wolf optimizer: a novel algorithm for multi-criterion optimization Expert Syst. Appl. 47 106-119
[6]  
Süsstrunk S.(2017)Theoretical-information quality model for image segmentation Procedia Eng. 201 239-248
[7]  
Arbelaez P.(2021)An information model for digital image segmentation Pattern Recognit. Image Anal. 31 632-645
[8]  
Maire M.(2002)Cluster ensembles–A knowledge reuse framework for combining multiple partitions J. Mach. Learn. Res. 3 583-617
[9]  
Fowlkes C.(2008)Image segmentation evaluation: A survey of unsupervised methods Comput. Vision Image Understanding 110 260-280
[10]  
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