Color image segmentation using adaptive mean shift and statistical model-based methods

DOI10.1016/j.camwa.2008.10.053zbMath1186.94014OpenAlexW2172168794MaRDI QIDQ971579

Guee Sang Lee, Jong Hyun Park, Soon Young Park

Publication date: 16 May 2010

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2008.10.053

zbMATH Keywords

Gaussian mixture modelmode detectionmean-shiftcolor image segmentationmean field annealing EM

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Cites Work

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• A study of Gaussian mixture models of color and texture features for image classification and segmentation
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Computational and Information Science
• Color image segmentation: advances and prospects