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ICPR
2004
IEEE

Unsupervised Image Segmentation Using A Simple MRF Model with A New Implementation Scheme

14 years 4 months ago
Unsupervised Image Segmentation Using A Simple MRF Model with A New Implementation Scheme
A Markov random field (MRF) model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. The traditional two-component MRF model for segmentation requires training data to estimate necessary model parameters and is thus unsuitable for unsupervised segmentation. The new MRF model overcomes this problem by introducing a function-based weighting parameter between the two components. This new MRF model is able to automatically estimate model parameters and is demonstrated to produce more accurate image segmentations than the traditional model using a variety of imagery.
David A. Clausi, Huawu Deng
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors David A. Clausi, Huawu Deng
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