MRI Image Retrieval Using Wavelet with Mahalanobis Distance Measurement

Title & Authors
MRI Image Retrieval Using Wavelet with Mahalanobis Distance Measurement
Rajakumar, K.; Muttan, S.;

Abstract
In content based image retrieval (CBIR) system, the images are represented based upon its feature such as color, texture, shape, and spatial relationship etc. In this paper, we propose a MRI Image Retrieval using wavelet transform with mahalanobis distance measurement. Wavelet transformation can also be easily extended to 2-D (image) or 3-D (volume) data by successively applying 1-D transformation on different dimensions. The proposed algorithm has tested using wavelet transform and performance analysis have done with HH and $\small{H^*}$ elimination methods. The retrieval image is the relevance between a query image and any database image, the relevance similarity is ranked according to the closest similar measures computed by the mahalanobis distance measurement. An adaptive similarity synthesis approach based on a linear combination of individual feature level similarities are analyzed and presented in this paper. The feature weights are calculated by considering both the precision and recall rate of the top retrieved relevant images as predicted by our enhanced technique. Hence, to produce effective results the weights are dynamically updated for robust searching process. The experimental results show that the proposed algorithm is easily identifies target object and reduces the influence of background in the image and thus improves the performance of MRI image retrieval.
Keywords
CBIR;MRI;Wavelet;Mahalanobis distance;
Language
English
Cited by
1.
A medical image retrieval scheme through a medical social network, Network Modeling Analysis in Health Informatics and Bioinformatics, 2016, 5, 1
2.
A medical image retrieval scheme with relevance feedback through a medical social network, Social Network Analysis and Mining, 2016, 6, 1
3.
Image medium similarity measure and its applications, Neurocomputing, 2014, 140, 219
References
1.
Wei Xiong, Bo Qiu, Qi Tian, Changsheng Xu, Sim Heng Ong, Kelvin Foong (2005), "Content Based Medical Image Retrieval using Dynamically optimised Regional Features," ICIP (3) 2005: 1232-1235.

2.
Huihui Huang, Wei Huang Zhigang Liu, Weirong Chen, and Qingquan Qian "Content-based color image retrieval via lifting scheme" IEEE-2005.

3.
Dong-Gi Lee and Sujit Dey," Adaptive and Energy Efficient Wavelet Image Compression For Mobile Multimedia Data Services" ICC 2002. Volume: 4, On page(s): 2484- 2490 vol.4.

4.
C. Carson, S. Belongie, H. Greenspan, J. Malik, "Recognition of images in large databases using color and texture," IEEE Transactions on pattern analysis and machine Intelligence, 24(8), pp.1026-1028, 2002.

5.
D. Keysers, J. Dahmen, H. Ney, B. B Wein and T. M. Lehmann "A Stastical Framework for model based image retrieval in medical applications", Journal of Electronic Imaging, 12(1): 59-68, 2003.

6.
Manjunath, B. S. "Texture Features For Browsing And Retrieval Of Image Data" Pattern Analysis And Machine Intelligence, IEEE Transactions Volume: 18 Issue: 8.

7.
Pinho, R. R, Tavares, J. M. R. S, Correia, M. V "Efficient approximation of the mahalanobis for tracking with the kalman filter" International J simul model 6 (2007) 2, 84-92.

8.
Shawn Newsam and YangYangGeo graphic Image retrieval Using Interest Point Descriptors" Lecture Notes in Computer Science, 2007, Volume 4842/2007, 275-286.

9.
Wilhelm Kuker, Jens Weise, Hilmar Krapf, Friederike Schmidt and Sigrid Friese, et al." MRI characteristics of acute and subacute brainstem and thalamic infarctions: value of T2- and diffusion-weighted sequences"Journal of Neurology, 2002, Volume 249, Number 1, Pages 33-42.

10.
Matthias Gutberlet, Milena Pachowsky,, Matthias Grothoff, Janine Hoffmann, Christian Lucke, Sabine Klaasen, Maximilian Posch, Sabine Hassfeld, "Value of MRI derived parameters in the discrimination of familial left ventricular noncompaction (LVNC), DCM and HCM in comparison to healthy volunteers" Journal of Cardiovascular Magnetic Resonance 2011, 13(Suppl 1):P269.