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2005 | 15 | 4 | 471-480
Tytuł artykułu

Image retrieval based on hierarchical Gabor filters

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Tom
15
Numer
4
Strony
471-480
Opis fizyczny
Daty
wydano
2005
otrzymano
2005-06-01
poprawiono
2005-09-01
Twórcy
  • Institute of Telecommunications, University of Technology and Agriculture, ul. Kaliskiego 7, 85-796 Bydgoszcz, Poland
  • Institute of Telecommunications, University of Technology and Agriculture, ul. Kaliskiego 7, 85-796 Bydgoszcz, Poland
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv15i4p471bwm
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