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https://doi.org/10.1016/S0167-8655(00)00106-9
| Title: | Color image segmentation and parameter estimation in a markovian framework | Authors: | Kato, Z. Pong, T.-C. Chung-Mong Lee, J. |
Keywords: | Color Markov random field Parameter estimation Pixel classification Unsupervised image segmentation |
Issue Date: | 2001 | Citation: | Kato, Z., Pong, T.-C., Chung-Mong Lee, J. (2001). Color image segmentation and parameter estimation in a markovian framework. Pattern Recognition Letters 22 (3-4) : 309-321. ScholarBank@NUS Repository. https://doi.org/10.1016/S0167-8655(00)00106-9 | Abstract: | An unsupervised color image segmentation algorithm is presented, using a Markov random field (MRF) pixel classification model. We propose a new method to estimate initial mean vectors effectively even if the histogram does not have clearly distinguishable peaks. The only parameter supplied by the user is the number of classes. © 2001 Elsevier Science B.V. All rights reserved. | Source Title: | Pattern Recognition Letters | URI: | http://scholarbank.nus.edu.sg/handle/10635/38965 | ISSN: | 01678655 | DOI: | 10.1016/S0167-8655(00)00106-9 |
| Appears in Collections: | Staff Publications |
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