Beliczyński, Bartłomiej - red.
Intelligent Control and Signal Processing
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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, Volume 15, Number 4 (2005) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
Sep 7, 2021
Aug 9, 2018
170
https://zbc.uz.zgora.pl/publication/54897
Edition name | Date |
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Image retrieval based on hierarchical gabor filters | Sep 7, 2021 |
Van, Thanh The Le, Thanh Manh Korbicz, Józef - red. Uciński, Dariusz - red.