Please use this identifier to cite or link to this item: http://13.232.72.61:8080/jspui/handle/123456789/529
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dc.contributor.authorSrimani, P. K.-
dc.contributor.authorHegde, Ramesh-
dc.date.accessioned2018-12-06T12:17:24Z-
dc.date.available2018-12-06T12:17:24Z-
dc.date.issued2014-09-
dc.identifier.citationSrimani, P. K., & Hegde, Ramesh. (2014). Texture Analysis of Faces of Twins by using Image Processing Techniques. International Journal of Emerging Technologies in Computational and Applied Sciences, 10(4), 324-329.en_US
dc.identifier.issnp-2279-0047-
dc.identifier.issne-2279-0055-
dc.identifier.urihttp://13.232.72.61:8080/jspui/handle/123456789/529-
dc.description.abstractTexture Analysis has been an active area of research over the past twenty five years. Today, texture analysis plays an important role in many tasks ranging from remote sensing to bio-medical image analysis. Textures, the repeated patterns, have different frequency components along different orientations. Texture analysis is important in many applications like image database retrieval, industrial, agricultural and biomedical applications. Texture analysis and classification are based on three different approaches; statistical, spectral and structural. We have proposed statistical approaches for analyzing the faces of twins and the components on the faces.en_US
dc.language.isoenen_US
dc.publisherIJETCASen_US
dc.subjectPhysicsen_US
dc.subjectComputer scienceen_US
dc.subjectRetrieval bio-medicalen_US
dc.titleTexture Analysis of Faces of Twins by using Image Processing Techniques.en_US
dc.typeArticleen_US
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