Image retrieval based on hierarchical Gabor filters

• Autorzy: Andrysiak T. , Choraś M.
• 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.

Słowa kluczowe

EN

Gabor filters; image retrieval; texture feature extraction; hierarchical representation

PL

filtr Gabora; pobieranie obrazu; ekstrakcja cech; reprezentacja hierarchiczna

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2005
• Tom: Vol. 15, no 4
• Strony: 471--480
• Opis fizyczny: Bibliogr. 38 poz., rys., wykr.

Twórcy

autor

Andrysiak T.

• Institute of Telecommunications, University of Technology and Agriculture, ul. Kaliskiego 7, 85–796 Bydgoszcz, Poland

autor

Choraś M.

• Institute of Telecommunications, University of Technology and Agriculture, ul. Kaliskiego 7, 85–796 Bydgoszcz, Poland

Bibliografia

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