Please use this identifier to cite or link to this item: http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/736
Title: Unsupervised Texture Segmentation with Rotational Invariance, Contextual Information and Feature Level Fusion
Authors: Ray, Tathagata
Keywords: Rotational Invariance
Hybrid segmentation
Issue Date: 2010
Publisher: IIT Kharagpur
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).
Gov't Doc #: NB14244
URI: http://www.idr.iitkgp.ac.in/xmlui/handle/123456789/736
Appears in Collections:Unsupervised Texture Segmentation with Rotational Invariance, Contextual Information and Feature Level Fusion

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