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Reseach Article

Implementation of Image Registration for Satellite Images using Mutual Information and Particle Swarm Optimization Techniques

by Heena R. Kher
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 1
Year of Publication: 2014
Authors: Heena R. Kher
10.5120/16969-5475

Heena R. Kher . Implementation of Image Registration for Satellite Images using Mutual Information and Particle Swarm Optimization Techniques. International Journal of Computer Applications. 97, 1 ( July 2014), 7-14. DOI=10.5120/16969-5475

@article{ 10.5120/16969-5475,
author = { Heena R. Kher },
title = { Implementation of Image Registration for Satellite Images using Mutual Information and Particle Swarm Optimization Techniques },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 1 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 7-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number1/16969-5475/ },
doi = { 10.5120/16969-5475 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:22:57.601995+05:30
%A Heena R. Kher
%T Implementation of Image Registration for Satellite Images using Mutual Information and Particle Swarm Optimization Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 1
%P 7-14
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of this research is to register satellite images on the DSP processor using probabilistic optimization method named as particle swarm optimization. Satellite image registration is necessary in order to find change detection, to eliminate influence of camera distortion (roll, pitch and yaw), merge satellite imagery and in urban planning. Particle Swarm Optimization is a stochastic search technique with less computation and still very effective as compared to other optimization techniques. It is based on bird flocking, fish schooling and swarm theory. Each particle changes its position and velocity based on its corresponding fitness value. Fitness value can be calculated using joint entropy and mutual information. The algorithm can be used in object recognition, image segmentation, matching and registration. The performance of this algorithm is measured and results are shown using DSK 6713 hardware along with VM32242.

References
  1. Josien P. W. Pluim, J. B. Antoine Maintz and Max A. Viergever, "Mutual information based registration of medical images: A survey", IEEE transaction on medical imaging, pp. 1 – 16, 2003.
  2. Jiarui Lin, Zhiyong Gao, Bangquan Xu, Yangxiezi Cao, Zhan yingjian, "The affection of grey levels on mutual information based medical image registration", 26th annual international conference of the IEEE EMBS San Francisco, CA, USA, pp. 1747 – 1750, 1 -5 September, 2004.
  3. Li Junli, CONG Rijuan, Jin Linpeng, Wei Ping, "A medical image registration method based on weighted mutual information", 2nd International Conference on Bioinformatics and biomedical engineering, Shangai, pp. 2549 – 2552, 16 – 18 May, 2008.
  4. Anrong Yang, Caixing Lin, Cheng wang and Hongqiang Li, "An improved medical image registration framework based on mutual information", Global Congress on Intelligent systems, pp. 588 – 592.
  5. Paul Viola and William M. Wells III, "Alignment by Maximization of Mutual Information", International Journal of Computer Vision, Vol 24 issue 2, pp. 137–154, 1997.
  6. Josien P. W. Pluim, J. B. Antoine Maintz and Max A. Viergever, "Mutual information based registration of medical images: a survey", IEEE Transactions on Medical Imaging, pp. 1- 21, 2003.
  7. Hua-Mei Chen, Pramod K. Varshney, and Manoj K. Arora, "Performance of Mutual Information Similarity Measure for Registration of Multi temporal Remote Sensing Images", IEEE Transactions on Geo science And Remote Sensing, Vol 41, No. 11, pp. 2445-2454, November 2003.
  8. Hua-mei Chen and Pramod K. Varshney, "Mutual Information-Based CT-MR Brain Image Registration Using Generalized Partial Volume Joint Histogram Estimation", IEEE Transactions on Medical Imaging, Vol. 22, No. 9, pp. 1111- 1119, September 2003.
  9. R. Berthilsson, "Affine correlation" 14th International Conference on Pattern Recognition ICPR'98, Brisbane, Australia, pp. 1458–1461, 16 – 18 August, 1998.
  10. F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, P. Suetens, "Multimodality image registration by maximization of mutual information", IEEE Transactions on Medical Imaging Vol. 16, pp. 187–198, 1997.
  11. J. P. W. Pluim, J. B. A. Maintz, M. A. Viergever, "Mutual information matching in multiresolution contexts", Image and Vision Computing, Vol. 19, pp. 45–52, 2001.
  12. A. Rangarajan, H. Chui, J. S. Duncan, "Rigid point feature registration using mutual information", Medical Image Analysis, Vol. 4 pp. 1–17, 1999.
  13. D. Rueckert, C. Hayes, C. Studholme, P. Summers, M. Leach, D. J. Hawkes, "Non-rigid registration of breast MR images using mutual information", Proceedings of the Medical Image Computing and Computer-Assisted Intervention MICCAI'98, Cambridge, Massachusetts, pp. 1144–1152, 1998.
  14. George Wolberg, Siavash Zokai, "Image Registration For Perspective Deformation Recovery", Proc. SPIE, Automatic Target Recognition, Orlando, FL, pp. 1-12, April 2000.
  15. D. P. Huttenlocher, G. A. Klanderman, W. J. Rucklidge, "Comparing images using the Hausdorff distance", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 15, pp. 850–863, 1993.
  16. N. Ritter, R. Owens, J. Cooper, R. H. Eikelboom, P. P. van Saarloos, "Registration of stereo and temporal images of the retina", IEEE Transactions on Medical Imaging, Vol. 18, pp. 404–418, 1999.
  17. Meisen Pan, Jingtian Tang, Qi Xiong," Medical image registration using fuzzy theory", Computer methods in biomechanics and biomedical engineering, Taylor & Francis, pp. 721- 734, March 2011.
  18. Jemes Kennedy, Russell Eberhart, "Particle Swarm Optimization", Purdue School of Engineering and Technology, Washington, pp. 1942 – 1948, 1995
  19. S. Chernyavskiy, "A Robust Scheme of Model Parameters Estimation Based on the Particle Swarm Method in the Image Matching Problem", Pattern Recognition and Image Processing, Journal of Computer and Systems Sciences International, Vol. 47, No. 5, pp. 764–777, 2008.
  20. J. Senthilnath, S. N. Omkar, V. Mani, and T. Karthikeyan, "Multi objective Discrete Particle Swarm Optimization for Multi sensor Image Alignment", IEEE Geo science and Remote Sensing Letters, VOL. 10, NO. 5, pp. 1095- 1099, September 2013.
  21. Yen-Wei Chen, Chen-Lun Lin and Aya Mimori, "Multimodal Medical Image Registration Using Particle Swarm Optimization", Eighth International Conference on Intelligent Systems Design and Applications, pp. 127 – 131, 2008.
  22. Chen-Lun Lin, Aya Mimori, and Yen-Wei Chen, "Hybrid Particle Swarm Optimization and Its Application to Multimodal 3D Medical Image Registration", Hindawi Publishing Corporation Computational Intelligence and Neuroscience, pp. 1 – 7, 2012.
  23. Lukasz A Machowski, Tshilidzi Marwala, "Evolutionary Optimization Methods for Template Based Image Registration", School of Electrical and Information Engineering University of Witwatersrand, Johannesburg, South Africa, pp. 1-6, 2007.
  24. Yong Fang Guo, Yi Cai Sun, "Image matching based on improved Particle Swarm Optimization", International Conference on Electronics, Communication and Controls, Ningbo, pp. 862-865, 9-11 September, 2011.
  25. Guo Yong fang, Huang Kai, "Efficient Image Matching Algorithm Using Distance Transform and Particle Swarm Optimization", Advanced Materials Research, pp 753-757, 2012.
  26. Xiaoxiang Liu, Weigang Jiang, Jianwen Xie, Yitian Jia, "An Image Template Matching Method Using Particle Swarm Optimization", Second Asia-Pacific Conference on Computational Intelligence and Industrial Applications, pp. 83-86, 2009.
  27. Peng-Yeng Yin, "Particle swarm optimization for point pattern matching", Journal of Visual Communication and Image Representation, Vol 17, issue 1, pp: 143–162, February 2006.
  28. Ankit Sharma, N. Singh, "Object Detection in Image Using Particle Swarm Optimization", International Journal of Engineering and Technology Vol. 2 (6), pp. 419-426, 2010.
  29. Yongming Li, Han Lai, Liuyi Lu, Yiwen Gao, Pin Wang, "Dynamic Brain Magnetic Resonance Image Registration based on Inheritance Idea and PSO", 4th International Conference on Biomedical Engineering and Informatics (BMEI), pp. 263 – 267, 2011.
  30. Mark P. Wachowiak, and Terry M. Peters, "High-Performance Medical Image Registration Using New Optimization Techniques" IEEE Transactions on Information Technology in Biomedicine, Vol. 10, No. 2, pp. 344-353, April 2006.
  31. J. P. P. Starink, E. Baker, "Finding point correspondence using simulated annealing", Pattern Recognition, Vol. 28, pp. 231–240, 1995.
  32. P. Thevenaz, U. E. Ruttimann, M. Unser, "Iterative multi scale registration without landmarks", Proceedings of the IEEE International Conference on Image Processing ICIP' 95, Washington DC, pp. 228–231, 1995.
  33. DSP STAR TFT LCD Video Daughtercard User's Manual, Copyright © 2009 www. nd-tech. com, Pages: 1- 14.
  34. TMS320C6713 DSK Module Technical Reference, November 2003.
  35. A. Ardeshir Goshtasby, 2 D and 3 D Image Registration for medical, remote sensing and industrial applications, Wiley Interscience Publication, 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Image Registration Mutual Information Joint Histogram Joint Entropy Particle Swarm Optimization