- Tytuł:
- Content-based image retrieval using a signature graph and a self-organizing map
- Autorzy:
-
Van, T. T.
Le, T. M. - Powiązania:
- https://bibliotekanauki.pl/articles/330159.pdf
- Data publikacji:
- 2016
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
binary signature
similarity measure
signature graph
image retrieval
sygnatura binarna
miara podobieństwa
wyszukiwanie obrazu - Opis:
- In order to effectively retrieve a large database of images, a method of creating an image retrieval system CBIR (content-based image retrieval) is applied based on a binary index which aims to describe features of an image object of interest. This index is called the binary signature and builds input data for the problem of matching similar images. To extract the object of interest, we propose an image segmentation method on the basis of low-level visual features including the color and texture of the image. These features are extracted at each block of the image by the discrete wavelet frame transform and the appropriate color space. On the basis of a segmented image, we create a binary signature to describe the location, color and shape of the objects of interest. In order to match similar images, we provide a similarity measure between the images based on binary signatures. Then, we present a CBIR model which combines a signature graph and a self-organizing map to cluster and store similar images. To illustrate the proposed method, experiments on image databases are reported, including COREL, Wang and MSRDI.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2016, 26, 2; 423-438
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł