A NOVEL REGION BASED IMAGE FUSION METHOD USING DWT AND REGION CONSISTENCY RULE

Tanish Zaveri, Mukesh Zaveri

Abstract

This paper proposes a novel region based image fusion scheme using discrete wavelet transform and region consistency rule. In the recent literature, region based image fusion methods show better performance than pixel based image fusion methods. The graph based normalized cutset algorithm is used for image segmentation. The region consistency rule is used to select the regions from discrete wavelet transform decomposed source images. The new MMS fusion rule is also proposed to fuse multimodality images. Proposed method is applied on large number of registered images of various categories of multifocus and multimodality images and results are compared using standard reference based and nonreference based image fusion parameters. It has been observed that simulation results of our proposed algorithm are consistent and more information is preserved compared to earlier reported pixel based and region based methods.

References

  1. Anna, Wang, Jaijining, Sun, Yueyang, Guan, 2006. The application to wavelet transform to multimodality medical image fusion. IEEE International Conference on Networking, Sensing and Control, pp. 270-274.
  2. Devid, Hall, James, LLians, 2001. Hand book of multisensor data fusion. CRC Press LLC,
  3. Gonzales, Rofael, Richard, Woods, 2006. Digital Image Processing, Pearson Education, 2nd ed.
  4. Mallat, S., 1989. A theory for multiresoultuion signal decomposition: the wavelet representation, IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol. 2(7), pp. 674-693.
  5. Miao, Qiguang, Wang, Baoshul, 2006. A novel image fusion method using contourlet transform. International Conference on Communications, Circuits and Systems Proceedings, Vol. 1, pp 548-552.
  6. Piella, G., 2003. A general framework for multiresolution image fusion: from pixels to regions. Journal of Information Fusion, Vol. 4 (4), pp 259-280.
  7. Piella, Gemma, 2002. A region based multiresolution image fusion algorithm. Proceedings of the Fifth International Conference on Information Fusion, Vol. 2, pp 1557- 1564.
  8. Shi, J., Malik, J., 2000. Normalized cuts and image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22 (8), 888-905.
  9. Shutao, Li, Bin, Yang, 2008. Multifocus image fusion using region segmentation and spatial frequency, Image and Vision Computing, Elsevier, Vol. 26, pp. 971-979.
  10. Xydeas, C., S., V., Petrovic, 2000. Objective image fusion performance measure, Electronics Letters, Vol. 36 (4), pp 308-309. February 2000.
  11. Yin Chen, Rick S. Blum, 2008 A automated quality assessment algorithm for image fusion,” Image and vision computing, Elsevier.
  12. Zheng, Liu, Robert, Laganiere, 2006. On the use of phase congruency to evaluate image similarity”, IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Vol. 2, pp 937-940.
  13. Zhong, Zhang, Rick, Blum, 1999. A categorization of multiscale decomposition based image fusion schemes with a performance study for digital camera application. Proceedings of IEEE, Vol. 87 (8), pp 1315-1326.
  14. Zhou Wang, Alan Bovik, 2002. A universal image quality index, IEEE signal processing letters, Vol. 9, pp. 81- 81.
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Paper Citation


in Harvard Style

Zaveri T. and Zaveri M. (2009). A NOVEL REGION BASED IMAGE FUSION METHOD USING DWT AND REGION CONSISTENCY RULE . In Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009) ISBN 978-989-674-014-6, pages 339-346. DOI: 10.5220/0002283203390346


in Bibtex Style

@conference{icnc09,
author={Tanish Zaveri and Mukesh Zaveri},
title={A NOVEL REGION BASED IMAGE FUSION METHOD USING DWT AND REGION CONSISTENCY RULE},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009)},
year={2009},
pages={339-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002283203390346},
isbn={978-989-674-014-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009)
TI - A NOVEL REGION BASED IMAGE FUSION METHOD USING DWT AND REGION CONSISTENCY RULE
SN - 978-989-674-014-6
AU - Zaveri T.
AU - Zaveri M.
PY - 2009
SP - 339
EP - 346
DO - 10.5220/0002283203390346