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- W2016127562 abstract "This paper presents a method to design a wavelet-filter that minimizes entropy in the wavelet transform. Filters that minimize entropy in images tend to filter out texture while highlighting features of interest. The design of the wavelet filter is couched as a non-convex optimization problem which is solved using a hybridized Genetic Algorithm. As an example, three distinct filters are tuned to detect horizontal, vertical and blob defects in woven fabrics. The effects of shifting on the optimized set of coefficients is also explored." @default.
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- W2016127562 date "2005-11-09" @default.
- W2016127562 modified "2023-09-23" @default.
- W2016127562 title "Design of minimum entropy wavelet filters using genetic algorithms" @default.
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- W2016127562 doi "https://doi.org/10.1117/12.630604" @default.
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