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%0 Conference Proceedings
%4 sid.inpe.br/banon/2002/11.06.11.27
%2 sid.inpe.br/banon/2002/11.06.11.27.14
%A Rangayyan, R. M.,
%A Ferrari, R. J.,
%A Desautels, J. E. L.,
%A Frère, A. F.,
%T Directional analysis of images with Gabor wavelets
%B Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
%D 2000
%E Carvalho, Paulo Cezar Pinto,
%E Walter, Marcelo,
%8 October
%J Los Alamitos
%I IEEE Computer Society
%C Gramado, RS, Brazil
%K wavelet transforms linear directional component analysis images multiresolution representation Gabor wavelets Gabor filter dictionary tuning frequency orientation redundancy reduction filter responses Karhunen-Loeve transform thresholding principal components Rose diagrams phase images oriented patterns mammogram asymmetry feature extraction parametric statistical classifier distortion cases Mini-MIAS database leave-one-out methodology diagnostic accuracy.
%X The paper presents a new scheme for analysis of linear directional components in images by using a multiresolution representation based on Gabor wavelets. A dictionary of Gabor filters with varying tuning frequency and orientation, specifically designed in order to reduce the redundancy in the wavelet-based representation, is applied to the given image. The filter responses for different scales and orientation are analyzed by using the Karhunen-Loeve (KL) transform and Otsu's (1979) method of thresholding. The KL transform is applied to select the principal components of the filter responses, preserving only the most relevant directional elements appearing at all scales. The first N principal components, thresholded by using Otsu's method, are used to reconstruct the magnitude and phase of the directional components of the image. Rose diagrams computed from the phase images are used for quantitative and qualitativeanalysis of the oriented patterns. The proposed scheme is applied to the analysis of asymmetry between left and right mammograms. For this purpose, a set of three features is extracted from the Rose diagrams and used in a parametric statistical classifier. A total of 80 images from 20 normal cases, 14 asymmetric cases, and 6 distortion cases from the Mini-MIAS database were used to evaluate the scheme using the leave-one-out methodology, resulting in an average diagnostic accuracy of 72.5%.
%P 170-177
%O The conference was held in Gramado, RS, Brazil, from October 17 to 20.
%1 SBC - Brazilian Computer Society
%3 170-177.pdf


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