Color image segmentation and parameter estimation in a markovian framework
نویسندگان
چکیده
An unsupervised color image segmentation algorithm is presented, using a Markov random ®eld (MRF) pixel classi®cation model. We propose a new method to estimate initial mean vectors eectively even if the histogram does not have clearly distinguishable peaks. The only parameter supplied by the user is the number of classes. Ó 2001 Elsevier Science B.V. All rights reserved.
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عنوان ژورنال:
- Pattern Recognition Letters
دوره 22 شماره
صفحات -
تاریخ انتشار 2001