Title :
A Novel Texture Image Retrieval System Based On Dual Tree Complex Wavelet Transform and Support Vector Machines
Author :
Mumtaz, Adeel ; Gilani, S.A.M. ; Jameel, Tahir
Author_Institution :
Fac. of Comput. Sci. & Eng., Ghulam Ishaq Khan Inst. of Eng. Sci. & Technol., Topi
Abstract :
This paper presents a novel texture 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 texture based features. At second level to extract semantic concepts, we grouped images of typical texture 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 show that the proposed approach has superior retrieval performance over the existing linear feature combining techniques
Keywords :
feature extraction; image retrieval; image texture; support vector machines; trees (mathematics); wavelet transforms; dual tree complex wavelet transform; feature extraction; query image; support vector machines; texture image retrieval system; Content based retrieval; Continuous wavelet transforms; Feature extraction; Image databases; Image retrieval; Information retrieval; Spatial databases; Support vector machine classification; Support vector machines; Wavelet transforms;
Conference_Titel :
Emerging Technologies, 2006. ICET '06. International Conference on
Conference_Location :
Peshawar
Print_ISBN :
1-4244-0502-5
Electronic_ISBN :
1-4244-0503-3
DOI :
10.1109/ICET.2006.335910