Journal of Electrical Engineering and Technology

  • 제8권5호
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  • Pages.1188-1193
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  • 2013
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  • 1975-0102(pISSN)
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  • 2093-7423(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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MRI Image Retrieval Using Wavelet with Mahalanobis Distance Measurement

  • Rajakumar, K. (Dept. of Electronics and Communication Engineering, College of Engg, Guindy, Anna University) ;
  • Muttan, S. (Dept. of Electronics and Communication Engineering, College of Engg, Guindy, Anna University)
  • 투고 : 2012.09.04
  • 심사 : 2013.03.06
  • 발행 : 2013.09.01
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초록

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 $H^*$ 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.

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참고문헌

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피인용 문헌

  1. Image medium similarity measure and its applications vol.140, 2014, https://doi.org/10.1016/j.neucom.2014.03.019
  2. A medical image retrieval scheme with relevance feedback through a medical social network vol.6, pp.1, 2016, https://doi.org/10.1007/s13278-016-0362-9
  3. A medical image retrieval scheme through a medical social network vol.5, pp.1, 2016, https://doi.org/10.1007/s13721-016-0130-9