8 research outputs found
Fault detection and identification using fuzzy wavelets
Ph.D.George Vachtsevano
Optimal design of filter banks for texture discrimination
In this paper, we present an optimum design of two-band Finite Impulse Response (FIR) Quadrature Mirror Filter bank
(QMF) for maximum possible discrimination between textured images. There are several applications, which may not
require reconstruction of signal from its transformed coefficients e.g. texture analysis, remote sensing etc. For such
applications, features are extracted at different frequency resolution scales. Hence, it is extremely important that transformed
image coefficients should be distortion less, which is not possible in practice. Therefore, we present an optimal design
method for maximum possible discrimination between any particular classes of textures with minimum possible coefficient
error. In order to obtain the desired results, the optimization routine adjusts relative error weighting along with passband and
stopband edges for the design of symmetric response FIR filter