Korbicz, Józef - red. ; Uciński, Dariusz - red.
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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 26, number 2 (2016) ; click here to follow the link
Biblioteka Uniwersytetu Zielonogórskiego
May 10, 2024
May 10, 2024
10
https://zbc.uz.zgora.pl/publication/88968
Edition name | Date |
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Content-based image retrieval using a signature graph and a self-organizing map | May 10, 2024 |
Andrysiak, Tomasz Choraś, Michał Beliczyński, Bartłomiej - red.
Saquer, Jamil Deogun, Jitender S. Grzymala-Busse, Jerzy - ed. Świniarski, Roman W. - ed. Zhong, Ning - ed. Ziarko, Wojciech - ed.