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This work shows the use of a two-dimensional Gabor wavelets in imageprocessing. Convolution with such a two-dimensional wavelet can be separatedinto two series of one-dimensional ones. The key idea of this work is toutilize a Gabor wavelet as a multiscale partial differential operator of agiven order. Gabor wavelets are used here to detect edges, corners and blobs. Aperformance of such an interest point detector is compared to detectorsutilizing a Haar wavelet and a derivative of a Gaussian function. The proposedapproach may be useful when a fast implementation of the Gabor transform isavailable or when the transform is already precomputed.

Gabor Wavelets in Image Processing