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<title>Unsupervised Texture Segmentation with Rotational Invariance, Contextual Information and Feature Level Fusion</title>
<link href="http://127.0.0.1/xmlui/handle/123456789/735" rel="alternate"/>
<subtitle/>
<id>http://127.0.0.1/xmlui/handle/123456789/735</id>
<updated>2026-04-17T14:56:44Z</updated>
<dc:date>2026-04-17T14:56:44Z</dc:date>
<entry>
<title>Unsupervised Texture Segmentation with Rotational Invariance, Contextual Information and Feature Level Fusion</title>
<link href="http://127.0.0.1/xmlui/handle/123456789/736" rel="alternate"/>
<author>
<name>Ray, Tathagata</name>
</author>
<id>http://127.0.0.1/xmlui/handle/123456789/736</id>
<updated>2015-06-01T12:06:22Z</updated>
<published>2010-01-01T00:00:00Z</published>
<summary type="text">Unsupervised Texture Segmentation with Rotational Invariance, Contextual Information and Feature Level Fusion
Ray, Tathagata
Texture analysis recognizes an image on the basis of textural property which in turn is&#13;
used in texture segmentation for identifying the boundary between different textures.&#13;
Among many methods of feature extraction, the signal processing method has got&#13;
dominance over other methods due to its similarity with Human Visual System (HVS).
</summary>
<dc:date>2010-01-01T00:00:00Z</dc:date>
</entry>
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