Effective image retrieval based on an experimental combination of texture features and comparison of different histogram quantizations in the DCT domain
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 11, Issue 3 (31 May. 2014)10 p.
Publisher
Publication Date
2014-05-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The compressed domain is appealing for the image retrieval because of the direct efficient feature extraction moreover, currently almost all the images are available in a compressed format using the Discrete Cosine Transformation (DCT).
In this paper, the quantized histogram statistical texture features are extracted from the DCT blocks using the significant energy of the DC and the first three AC coefficients of the blocks and are used for the retrieval of the similar images.
The effectiveness of the image retrieval is analyzed by performing an experimental comparison of the different combinations of the texture features to get an optimum combination and the comparison of the different quantization bins by using the optimum combinations of the features.
The proposed approach is tested by using the Corel image database and the experimental results show that the proposed approach has a robust image retrieval using the combinations of the features with the different histogram quantization bins in the frequency domain.
American Psychological Association (APA)
Malik, Fadl& Baharudin, Baharum. 2014. Effective image retrieval based on an experimental combination of texture features and comparison of different histogram quantizations in the DCT domain. The International Arab Journal of Information Technology،Vol. 11, no. 3.
https://search.emarefa.net/detail/BIM-334331
Modern Language Association (MLA)
Malik, Fadl& Baharudin, Baharum. Effective image retrieval based on an experimental combination of texture features and comparison of different histogram quantizations in the DCT domain. The International Arab Journal of Information Technology Vol. 11, no. 3 (May. 2014).
https://search.emarefa.net/detail/BIM-334331
American Medical Association (AMA)
Malik, Fadl& Baharudin, Baharum. Effective image retrieval based on an experimental combination of texture features and comparison of different histogram quantizations in the DCT domain. The International Arab Journal of Information Technology. 2014. Vol. 11, no. 3.
https://search.emarefa.net/detail/BIM-334331
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-334331