Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/5076
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dc.contributor.authorCrombie, Michael A.-
dc.contributor.authorFriend, Nancy J.-
dc.contributor.authorRand, Robert S.-
dc.date.accessioned2016-03-18T14:35:35Z-
dc.date.available2016-03-18T14:35:35Z-
dc.date.issued1982-10-
dc.identifier.urihttp://hdl.handle.net/11681/5076-
dc.descriptionResearch note-
dc.descriptionAbstract: An approach to developing a reduced set of texture-like descriptors is presented. Results of several experiments using multi-component vectors are presented including experiments with relaxation techniques to cleanse the test images. In view of these results, the practicality of using more complex feature vectors is questioned.-
dc.publisherU.S. Army Engineer Topographic Laboratories.-
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relationhttp://acwc.sdp.sirsi.net/client/en_US/search/asset/1047612-
dc.relation.ispartofseriesETL ; 0305.-
dc.rightsApproved for public release; distribution is unlimited.-
dc.sourceThis Digital Resource was created from scans of the Print Resource.-
dc.subjectAd hoc texture measure-
dc.subjectClassification-
dc.subjectDivergence-
dc.subjectEdge texture measure-
dc.subjectFeature component reduction-
dc.subjectMax-min texture measure-
dc.subjectRelaxation-
dc.titleFeature component reduction through divergence analysis-
dc.typeReporten_US
Appears in Collections:Research Note

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