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dc.contributor.authorLee, JHen_US
dc.contributor.authorHsueh, YCen_US
dc.date.accessioned2014-12-08T15:02:42Z-
dc.date.available2014-12-08T15:02:42Z-
dc.date.issued1996-05-01en_US
dc.identifier.issn0253-3839en_US
dc.identifier.urihttp://hdl.handle.net/11536/1340-
dc.description.abstractA new method using Morphological Gradients, which measures the degree of roughness of image surface, is proposed for texture analysis. In this method, the local texture feature for a given pixel is characterized by its corresponding morphological gradient, and the global texture aspect of an image, denoted the Morphological Gradient Texture Histogram (MGTH), is used as a distinguishing feature for texture analysis and classification. To evaluate the performance of the proposed method, supervised texture classification and rotated texture classification are applied. Experimental results reveal high accuracy classification rates and show that the proposed method is a good tool for texture analysis.en_US
dc.language.isoen_USen_US
dc.subjecttexture analysisen_US
dc.subjectmorphological gradient texture histogramen_US
dc.subjecttexture classificationen_US
dc.titleA new method for texture analysis using morphological gradient texture histogramsen_US
dc.typeArticleen_US
dc.identifier.journalJOURNAL OF THE CHINESE INSTITUTE OF ENGINEERSen_US
dc.citation.volume19en_US
dc.citation.issue3en_US
dc.citation.spage393en_US
dc.citation.epage399en_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
顯示於類別:期刊論文