A general framework for complex network-based image segmentation
- 27 February 2019
- journal article
- research article
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 78 (14) , 20191-20216
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This publication has 36 references indexed in Scilit:
- Kullback-Leibler Divergence2011
- Stability of graph communities across time scalesProceedings of the National Academy of Sciences, 2010
- Unsupervised segmentation of natural images via lossy data compressionComputer Vision and Image Understanding, 2008
- Maps of random walks on complex networks reveal community structureProceedings of the National Academy of Sciences, 2008
- Finding community structure in very large networksPhysical Review E, 2004
- Mean shift: a robust approach toward feature space analysisIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Regions adjacency graph applied to color image segmentationIEEE Transactions on Image Processing, 2000
- Normalized cuts and image segmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
- Edge-region-based segmentation of range imagesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1994
- An optimal graph theoretic approach to data clustering: theory and its application to image segmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1993