Data clustering as an optimum‐path forest problem with applications in image analysis
- 13 May 2009
- journal article
- Published by Wiley in International Journal of Imaging Systems and Technology
- Vol. 19 (2), 50-68
- https://doi.org/10.1002/ima.20191
Abstract
No abstract availableKeywords
This publication has 36 references indexed in Scilit:
- Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classificationMedical Image Analysis, 2006
- The image foresting transform: theory, algorithms, and applicationsIeee Transactions On Pattern Analysis and Machine Intelligence, 2004
- Kernel-based object trackingIeee Transactions On Pattern Analysis and Machine Intelligence, 2003
- An algorithm for data-driven bandwidth selectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2003
- BAS: a perceptual shape descriptor based on the beam angle statisticsPattern Recognition Letters, 2003
- The variable bandwidth mean shift and data-driven scale selectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Real-time tracking of non-rigid objects using mean shiftPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Mean shift: a robust approach toward feature space analysisIeee Transactions On Pattern Analysis and Machine Intelligence, 2002
- Mean shift, mode seeking, and clusteringIEEE Transactions on Pattern Analysis and Machine Intelligence, 1995
- Pattern Recognition with Fuzzy Objective Function AlgorithmsPublished by Springer Science and Business Media LLC ,1981