Rotation-invariant features based on directional coding for texture classification
نویسندگان
چکیده
منابع مشابه
Rotation and scale invariant local binary pattern based on high order directional derivatives for texture classification
Article history: Available online 18 December 2013
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The importance of texture analysis and classification in image processing is well known. However, many existing texture classification schemes suffer from a number of drawbacks. A large number of features are commonly used to represent each texture and an excessively large image area is often required for the texture analysis, both leading to high computational complexity. Furthermore, most exi...
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Multichannel Gabor filters (MGFs) and Markov random fields (MRFs) are two common methods for texture classification. However, the two above methods make the implicit assumption that textures are acquired in the same viewpoint, which is unsuitable for rotation-invariant texture classification. In this paper, rotation-invariant (RI) texture features are developed based on MGF and MRF. A novel alg...
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ژورنال
عنوان ژورنال: Neural Computing and Applications
سال: 2018
ISSN: 0941-0643,1433-3058
DOI: 10.1007/s00521-018-3462-9