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Issue No. 04 - April (1983 vol. 5)
ISSN: 0162-8828
pp: 428-433
Stanley L. Sclove , Department of Quantitative Methods, University of Illinois at Chicago, Chicago, IL 60680.
ABSTRACT
The problem of image segmentation is considered in the context of a mixture of probability distributions. The segments fall into classes. A probability distribution is associated with each class of segment. Parametric families of distributions are considered, a set of parameter values being associated with each class. With each observation is associated an unobservable label, indicating from which class the observation arose. Segmentation algorithms are obtained by applying a method of iterated maximum likelihood to the resulting likelihood function. A numerical example is given. Choice of the number of classes, using Akaike's information criterion (AIC) for model identification, is illustrated.
INDEX TERMS
CITATION
Stanley L. Sclove, "Application of the Conditional Population-Mixture Model to Image Segmentation", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 5, no. , pp. 428-433, April 1983, doi:10.1109/TPAMI.1983.4767412
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