A contextual classifier that only requires one prototype pixel for each class

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2001


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A three stage scheme for classification of multi-spectral images is proposed. In each stage, statistics of each class present in the image are estimated. The user is required to provide only one prototype pixel for each class to be seeded into a homogeneous region. The algorithm starts by generating optimum initial training sets, one for each class, maximizing the redundancy in the data sets. These sets are the realizations of the maximal discs centered on the prototype pixels for which it is true that all the elements belong to the same class as the center one. Afterwards a region growing algorithm increases the sample size providing more statistically valid samples of the classes. Final classification of each pixel is done by comparison of the statistical behavior of the neighborhood of each pixel with the statistical behavior of the classes. A critical sample size obtained from a model constructed with experimental data is used in this stage. The algorithm was tested with the Kappa coefficient k on synthetical images and compared with K-means (k~=0.41) and a similar scheme that uses spectral means (k~=0.75) instead of histograms (k~=0.90). Results are shown on a dermatological image with a malignant melanoma.
Original languageEnglish
Title of host publicationProceedings on IEEE Nuclear Science Symposium Conference Record
Publication date2001
ISBN (print)0-7803-7324-3
StatePublished - 2001
EventIEEE Nuclear Science Symposium Conference - San Diego, CA, United States


ConferenceIEEE Nuclear Science Symposium Conference
CountryUnited States
CitySan Diego, CA

Bibliographical note

Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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