Faculty of Information Technology, BUT

Publication Details

Gabor Wavelets in Image Processing

BAŘINA David. Gabor Wavelets in Image Processing. In: Proceedings of the 17th Conference STUDENT EEICT 2011. Volume 3. Brno: Brno University of Technology, 2011, pp. 522-526. ISBN 978-80-214-4273-3.
Czech title
Gaborovy vlnky ve zpracování obrazu
Type
conference paper
Language
english
Authors
URL
Keywords
Gabor function, wavelet, feature detection, interest point detection
Abstract
The subject of this paper is the procedure of interest point detection using partial derivatives obtained by the separable convolution with complex Gabor wavelet.
Annotation
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.
Published
2011
Pages
522-526
Proceedings
Proceedings of the 17th Conference STUDENT EEICT 2011
Series
Volume 3
Conference
Student EEICT 2011, Brno, CZ
ISBN
978-80-214-4273-3
Publisher
Brno University of Technology
Place
Brno, CZ
BibTeX
@INPROCEEDINGS{FITPUB9598,
   author = "David Ba\v{r}ina",
   title = "Gabor Wavelets in Image Processing",
   pages = "522--526",
   booktitle = "Proceedings of the 17th Conference STUDENT EEICT 2011",
   series = "Volume 3",
   year = 2011,
   location = "Brno, CZ",
   publisher = "Brno University of Technology",
   ISBN = "978-80-214-4273-3",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/9598"
}
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