Design of minimum entropy wavelet filters using genetic algorithms

Warren J. Jasper; Jeff Joines

doi:10.1117/12.630604

7 November 2005 Design of minimum entropy wavelet filters using genetic algorithms

Warren J. Jasper, Jeff Joines

Proceedings Volume 6001, Wavelet Applications in Industrial Processing III; 60010G (2005) https://doi.org/10.1117/12.630604
Event: Optics East 2005, 2005, Boston, MA, United States

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.

Citation Download Citation

Warren J. Jasper and Jeff Joines "Design of minimum entropy wavelet filters using genetic algorithms", Proc. SPIE 6001, Wavelet Applications in Industrial Processing III, 60010G (7 November 2005); https://doi.org/10.1117/12.630604

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