Gabor Wavelets in Image Processing
Computer Vision and Pattern Recognition
2016-05-05 v1 Graphics
Multimedia
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.
Keywords
Cite
@article{arxiv.1602.03308,
title = {Gabor Wavelets in Image Processing},
author = {David Barina},
journal= {arXiv preprint arXiv:1602.03308},
year = {2016}
}