hrcak mascot   Srce   HID

Izvorni znanstveni članak
https://doi.org/10.2498/cit.1000986

Enhancing performance of Image Retrieval Systems using Dual Tree Complex Wavelet Transform and Support Vector Machines

Syed Asif Mehmood Gilani
Adeel Mumtaz

Puni tekst: engleski, pdf (672 KB) str. 57-68 preuzimanja: 797* citiraj
APA 6th Edition
Mehmood Gilani, S.A. i Mumtaz, A. (2008). Enhancing performance of Image Retrieval Systems using Dual Tree Complex Wavelet Transform and Support Vector Machines. Journal of computing and information technology, 16 (1), 57-68. https://doi.org/10.2498/cit.1000986
MLA 8th Edition
Mehmood Gilani, Syed Asif i Adeel Mumtaz. "Enhancing performance of Image Retrieval Systems using Dual Tree Complex Wavelet Transform and Support Vector Machines." Journal of computing and information technology, vol. 16, br. 1, 2008, str. 57-68. https://doi.org/10.2498/cit.1000986. Citirano 25.02.2021.
Chicago 17th Edition
Mehmood Gilani, Syed Asif i Adeel Mumtaz. "Enhancing performance of Image Retrieval Systems using Dual Tree Complex Wavelet Transform and Support Vector Machines." Journal of computing and information technology 16, br. 1 (2008): 57-68. https://doi.org/10.2498/cit.1000986
Harvard
Mehmood Gilani, S.A., i Mumtaz, A. (2008). 'Enhancing performance of Image Retrieval Systems using Dual Tree Complex Wavelet Transform and Support Vector Machines', Journal of computing and information technology, 16(1), str. 57-68. https://doi.org/10.2498/cit.1000986
Vancouver
Mehmood Gilani SA, Mumtaz A. Enhancing performance of Image Retrieval Systems using Dual Tree Complex Wavelet Transform and Support Vector Machines. Journal of computing and information technology [Internet]. 2008 [pristupljeno 25.02.2021.];16(1):57-68. https://doi.org/10.2498/cit.1000986
IEEE
S.A. Mehmood Gilani i A. Mumtaz, "Enhancing performance of Image Retrieval Systems using Dual Tree Complex Wavelet Transform and Support Vector Machines", Journal of computing and information technology, vol.16, br. 1, str. 57-68, 2008. [Online]. https://doi.org/10.2498/cit.1000986

Sažetak
This paper presents a novel image retrieval system (SVMBIR) based on dual tree complex wavelet transform (CWT) and support vector machines (SVM). We have shown that how one can improve the performance of image retrieval systems by assuming two attributes. Firstly, images that user needs through query image are similar to a group of images with same conception. Secondly, there exists non-linear relationship between feature vectors of different images and can be exploited very efficiently with the use of support vector machines. At first level, for low level feature extraction we have used dual tree complex wavelet transform because recently it is proven to be one of the best for both texture and color based features. At second level to extract semantic concepts, we grouped images of typical classes with the use of one against all support vector machines. We have also shown how one can use a correlation based distance metric for comparison of SVM distance vectors. The experimental results on standard texture and color datasets show that the proposed approach has superior retrieval performance over the existing linear feature combining techniques.

Hrčak ID: 44606

URI
https://hrcak.srce.hr/44606

Posjeta: 993 *