TY - JOUR
T1 - A class of discrete multiresolution random fields and its application to image segmentation
AU - Wilson, Roland
AU - Li, Chang Tsun
PY - 2003/1
Y1 - 2003/1
N2 - In this paper, a class of Random Field model, defined on a multiresolution array is used in the segmentation of gray level and textured images. The novel feature of one form of the model is that it is able to segment images containing unknown numbers of regions, where there may be significant variation of properties within each region. The estimation algorithms used are stochastic, but because of the multiresolution representation, are fast computationally, requiring only a few iterations per pixel to converge to accurate results, with error rates of 1-2 percent across a range of image structures and textures. The addition of a simple boundary process gives accurate results even at low resolutions, and consequently at very low computational cost.
AB - In this paper, a class of Random Field model, defined on a multiresolution array is used in the segmentation of gray level and textured images. The novel feature of one form of the model is that it is able to segment images containing unknown numbers of regions, where there may be significant variation of properties within each region. The estimation algorithms used are stochastic, but because of the multiresolution representation, are fast computationally, requiring only a few iterations per pixel to converge to accurate results, with error rates of 1-2 percent across a range of image structures and textures. The addition of a simple boundary process gives accurate results even at low resolutions, and consequently at very low computational cost.
KW - Bayesian estimation
KW - Image segmentation
KW - Markov random fields
UR - http://www.scopus.com/inward/record.url?scp=0037247155&partnerID=8YFLogxK
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U2 - 10.1109/TPAMI.2003.1159945
DO - 10.1109/TPAMI.2003.1159945
M3 - Article
AN - SCOPUS:0037247155
SN - 0162-8828
VL - 25
SP - 42
EP - 56
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
JF - IEEE Transactions on Pattern Analysis and Machine Intelligence
IS - 1
ER -