Image retrieval based on hierarchical Gabor filters

Tomasz Andrysiak; Michal Choraś

International Journal of Applied Mathematics and Computer Science (2005)

  • Volume: 15, Issue: 4, page 471-480
  • ISSN: 1641-876X

Abstract

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Content Based Image Retrieval (CBIR) is now a widely investigated issue that aims at allowing users of multimedia information systems to automatically retrieve images coherent with a sample image. A way to achieve this goal is the computation of image features such as the color, texture, shape, and position of objects within images, and the use of those features as query terms. We propose to use Gabor filtration properties in order to find such appropriate features. The article presents multichannel Gabor filtering and a hierarchical image representation. Then a salient (characteristic) point detection algorithm is presented so that texture parameters are computed only in a neighborhood of salient points. We use Gabor texture features as image content descriptors and efficiently emply them to retrieve images.

How to cite

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Andrysiak, Tomasz, and Choraś, Michal. "Image retrieval based on hierarchical Gabor filters." International Journal of Applied Mathematics and Computer Science 15.4 (2005): 471-480. <http://eudml.org/doc/207759>.

@article{Andrysiak2005,
abstract = {Content Based Image Retrieval (CBIR) is now a widely investigated issue that aims at allowing users of multimedia information systems to automatically retrieve images coherent with a sample image. A way to achieve this goal is the computation of image features such as the color, texture, shape, and position of objects within images, and the use of those features as query terms. We propose to use Gabor filtration properties in order to find such appropriate features. The article presents multichannel Gabor filtering and a hierarchical image representation. Then a salient (characteristic) point detection algorithm is presented so that texture parameters are computed only in a neighborhood of salient points. We use Gabor texture features as image content descriptors and efficiently emply them to retrieve images.},
author = {Andrysiak, Tomasz, Choraś, Michal},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {image retrieval; hierarchical representation; texture feature extraction; Gabor filters},
language = {eng},
number = {4},
pages = {471-480},
title = {Image retrieval based on hierarchical Gabor filters},
url = {http://eudml.org/doc/207759},
volume = {15},
year = {2005},
}

TY - JOUR
AU - Andrysiak, Tomasz
AU - Choraś, Michal
TI - Image retrieval based on hierarchical Gabor filters
JO - International Journal of Applied Mathematics and Computer Science
PY - 2005
VL - 15
IS - 4
SP - 471
EP - 480
AB - Content Based Image Retrieval (CBIR) is now a widely investigated issue that aims at allowing users of multimedia information systems to automatically retrieve images coherent with a sample image. A way to achieve this goal is the computation of image features such as the color, texture, shape, and position of objects within images, and the use of those features as query terms. We propose to use Gabor filtration properties in order to find such appropriate features. The article presents multichannel Gabor filtering and a hierarchical image representation. Then a salient (characteristic) point detection algorithm is presented so that texture parameters are computed only in a neighborhood of salient points. We use Gabor texture features as image content descriptors and efficiently emply them to retrieve images.
LA - eng
KW - image retrieval; hierarchical representation; texture feature extraction; Gabor filters
UR - http://eudml.org/doc/207759
ER -

References

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