Graph-based representations and techniques for image processing and image analysis
- 1 March 2002
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 35 (3) , 639-650
- https://doi.org/10.1016/s0031-3203(01)00066-8
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Image segmentation using local variationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Recent developments in graph matchingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Clustering of attributed graphs and unsupervised synthesis of function-described graphsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Synthesis of function-described graphsPublished by Springer Nature ,1998
- Structural matching by discrete relaxationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Function-described graphs applied to 3D object representationPublished by Springer Nature ,1997
- 2D image segmentation using minimum spanning treesImage and Vision Computing, 1997
- An optimal graph theoretic approach to data clustering: theory and its application to image segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Entropy and Distance of Random Graphs with Application to Structural Pattern RecognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1985
- Error-Correcting Isomorphisms of Attributed Relational Graphs for Pattern AnalysisIEEE Transactions on Systems, Man, and Cybernetics, 1979