Gabor Wavelets in Image Processing

David Barina

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arXiv · 1602.03308

Gabor Wavelets in Image Processing

David Barina

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Abstract

This work shows the use of a two-dimensional Gabor wavelets in image processing. Convolution with such a two-dimensional wavelet can be separated into two series of one-dimensional ones. The key idea of this work is to utilize a Gabor wavelet as a multiscale partial differential operator of a given order. Gabor wavelets are used here to detect edges, corners and blobs. A performance of such an interest point detector is compared to detectors utilizing a Haar wavelet and a derivative of a Gaussian function. The proposed approach may be useful when a fast implementation of the Gabor transform is available or when the transform is already precomputed.

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BibTeX RIS

David Barina. 2016-02-10. Gabor Wavelets in Image Processing. https://arxiv.org/abs/1602.03308

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