engleski

Application of Gabor Filters for Efficient Image Representation

In this paper we show the application of Gabor wavelet in image features extraction. Using Gabor wavelets an image is decomposed into MxL filtered images. For each filtered image the mean value and standard deviation of the energy distribution of the Gabor transform coefficients are computed. An image is described by a feature vector with MxL feature parameters. Gabor feature extraction is applied on a large image database and retrieval results are presented. Our results show that application of Gabor filters in image retrieval system provide high retrieval accuracy.

Gabor filters; image representation; image retrieval

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