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<title>Unsupervised Texture Segmentation with Rotational Invariance, Contextual Information and Feature Level Fusion</title>
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<dc:date>2026-04-17T18:51:00Z</dc:date>
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<title>Unsupervised Texture Segmentation with Rotational Invariance, Contextual Information and Feature Level Fusion</title>
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<description>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).
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