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Fuzzy Logic based Improvement in Discrete Wavelet Transform Edge Representation in Images.doc (646.5 kB)
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Fuzzy Logic based Improvement in Discrete Wavelet Transform Edge Representation in Images.doc

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posted on 31.03.2020 by Anand Swaminathan
We introduce a rule base fuzzy technique on decomposed wavelet coefficients, to improve the wavelet edge representation. Our algorithm mitigates ‘incorrect’ responses, due primarily to the symmetries of directional derivative filters. Since the Discrete Wavelet Transform (DWT) coefficients are revealed from two dimensional symmetric filter banks and undermine some gradient information. These wavelet coefficients are prearranged into ‘if-then’ rule structure of a fuzzy inference system, to improve the wavelet edge representation.

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Email Address of Submitting Author

sanand@mepcoeng.ac.in

Submitting Author's Institution

Mepco Schlenk Engineering College

Submitting Author's Country

India

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