Robust Texture Feature Extraction Method for Geometrical and Illumination Distortions

Abstract

In this paper, we propose a robust feature extraction method for texture image retrieval, and verify the effectiveness. In this method, the original image is transformed to log-polar autocorrelation image. The log-polar image is decomposed by discreet wavelet transform to obtain the approximation images. We extract the edge component from the approximation image by sobel filter processing, and we use higher order local autocorrelation as feature vector. Using this method to texture image, we obtain the robust feature for geometrical (shift, rotation, scale) and illumination distortions.
In order to show the effectiveness of this method, we estimated the similarity between images by using the feature vector. According to the result of computer simulation, we verified the higher retrieval rate to geometrical and illumination distorted images than the conventional approaches.