dc.contributor.author	Ray, Tathagata
dc.date.accessioned	2010-09-20T07:07:04Z
dc.date.available	2010-09-20T07:07:04Z
dc.date.issued	2010
dc.identifier.govdoc	NB14244
dc.identifier.uri	http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/736
dc.description.abstract	Texture analysis recognizes an image on the basis of textural property which in turn is used in texture segmentation for identifying the boundary between different textures. Among many methods of feature extraction, the signal processing method has got dominance over other methods due to its similarity with Human Visual System (HVS).	en
dc.language.iso	en	en
dc.publisher	IIT Kharagpur	en
dc.subject	Rotational Invariance	en
dc.subject	Hybrid segmentation	en
dc.title	Unsupervised Texture Segmentation with Rotational Invariance, Contextual Information and Feature Level Fusion	en
dc.type	Thesis	en

Unsupervised Texture Segmentation with Rotational Invariance, Contextual Information and Feature Level Fusion

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