- Tytuł:
- Image retrieval based on hierarchical Gabor filters
- Autorzy:
-
Andrysiak, T.
Choraś, M. - Powiązania:
- https://bibliotekanauki.pl/articles/908448.pdf
- Data publikacji:
- 2005
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
filtr Gabora
pobieranie obrazu
ekstrakcja cech
reprezentacja hierarchiczna
Gabor filters
image retrieval
texture feature extraction
hierarchical representation - Opis:
- 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.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2005, 15, 4; 471-480
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł