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dc.contributor.authorLEE, YGen_US
dc.contributor.authorLEE, JHen_US
dc.contributor.authorHSUEH, YCen_US
dc.date.accessioned2014-12-08T15:03:04Z-
dc.date.available2014-12-08T15:03:04Z-
dc.date.issued1995-11-09en_US
dc.identifier.issn0013-5194en_US
dc.identifier.urihttp://dx.doi.org/10.1049/el:19951398en_US
dc.identifier.urihttp://hdl.handle.net/11536/1658-
dc.description.abstractA new method using a fuzzy hit-or-miss transform recognition procedure, which measures degrees of fit of specified patterns within an image, is proposed for texture analysis. For a given texture, three optimal texture patterns (structuring elements) dynamically generated by genetic algorithms are used to inspect the degrees of fit by using the fuzzy hit-or-miss transform, respectively. The distribution of these degrees of fit, converted into a texture spectrum, is used as the texture feature for texture analysis.en_US
dc.language.isoen_USen_US
dc.subjectGENETIC ALGORITHMSen_US
dc.subjectTEXTURE (IMAGE PROCESSING)en_US
dc.titleGENETIC-BASED FUZZY HIT-OR-MISS TEXTURE SPECTRUM FOR TEXTURE ANALYSISen_US
dc.typeArticleen_US
dc.identifier.doi10.1049/el:19951398en_US
dc.identifier.journalELECTRONICS LETTERSen_US
dc.citation.volume31en_US
dc.citation.issue23en_US
dc.citation.spage1986en_US
dc.citation.epage1988en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:A1995TF16300016-
dc.citation.woscount4-
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