Texture feature extraction using the Sequency-ordered Complex Hadamard Transform

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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Bibliographic Details
Main Author: Lee, Sin Yi.
Other Authors: Ng Boon Poh
Format: Final Year Project (FYP)
Language:English
Published: 2011
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/45701

Internet

http://hdl.handle.net/10356/45701

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