Texture feature extraction using the Sequency-ordered Complex Hadamard Transform
In the field of texture classification, signal processing is one of the most common methods used for texture feature extraction. In this paper, we compare the texture classification performance of the sequency-ordered complex Hadamard transform (SCHT) and its real and conjugate symmetric version (Re...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2011
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| Online Access: | http://hdl.handle.net/10356/45701 |