CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Image Registration using PSO and APSO: A Comparative Analysis

by Jitendra Pramanik, Sunita Dalai, Debaraj Rana
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 21
Year of Publication: 2015
Authors: Jitendra Pramanik, Sunita Dalai, Debaraj Rana
10.5120/20458-2815

Jitendra Pramanik, Sunita Dalai, Debaraj Rana . Image Registration using PSO and APSO: A Comparative Analysis. International Journal of Computer Applications. 116, 21 ( April 2015), 6-11. DOI=10.5120/20458-2815

@article{ 10.5120/20458-2815,
author = { Jitendra Pramanik, Sunita Dalai, Debaraj Rana },
title = { Image Registration using PSO and APSO: A Comparative Analysis },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 21 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number21/20458-2815/ },
doi = { 10.5120/20458-2815 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:57:44.434507+05:30
%A Jitendra Pramanik
%A Sunita Dalai
%A Debaraj Rana
%T Image Registration using PSO and APSO: A Comparative Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 21
%P 6-11
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image registration, also known as matching or warping can be defined as the process of aligning two or more images. Image registration is a crucial step for image analysis in which valuable information is conveyed in more than one image, ie. images acquired at different times, from distinct viewpoints or by different sensors can be complementary . This research paper proposes a recently developed new variant of Particle Swarm Optimization (PSO) called Accelerated Particle Swarm Optimization (APSO) in image registration application. . APSO is simpler to implement and it has faster convergence when compared to the standard PSO (SPSO) algorithm. Here the extraction of interest point area from an image is optimized using Accelerated Particle swarm Optimization as well as PSO and a comparative analysis has been shown.

References
  1. Ruhani B. Karani Dr. Tanuja K. Sarode " Image Registration using Discrete Cosine Transform and Normalized Cross Correlation" International Conference & Workshop on Recent Trends in Technology, (TCET) 2012.
  2. Barbara Zitova an d Jan Flusser "Image registration methods: a survey" Received 9 November 2001.
  3. Gang Hong, Yun Zhang "Combination of Feature-based and Area- based Image Registration Technique for High Resolution Remote Sensing Image" ieee international conference on Geoscience and Remote Sensing Symposium, 2007 .
  4. M. Auer, P. Regitnig, and G. A. Holzapfel, "An automatic non rigid registration for stained histological sections," IEEE Trans. Image Process. ,vol. 14, no. 4, pp. 475–486, Apr. 2005.
  5. Hongjun Jia, Guorong Wu, Qian Wang, Minjeong Kim, and Dinggang Shen "Itree: fast and accurate image registration based on the combinative and incremental tree" international conference on Biomedical Imaging: From Nano to Macro, 2011 .
  6. Nemir Al-Azzawi , Wan Ahmed K. Wan Abdullah " MRI Monomodal Feature-Based Registration Based on the Efficiency of Multiresolution Representation and Mutual Information" American Journal of Biomedical Engineering 2012,2(3): 98-104.
  7. M. Alexander et al," Two-Dimensional Discrete Wavelet Transform on Large Images for Hybrid Computing Architectures: GPU and CELL", Euro-Par 2011 Workshops, Part I, LNCS 7155, pp. 481–490, 2012.
  8. Mei Jiansheng , Li Sukang1 and Tan Xiaomei "A Digital Watermarking Algorithm Based On DCT and DWT" Proceedings of the 2009 International Symposium on Web Information Systems and Applications (WISA'09) Nanchang, P. R. China, May 22-24, 2009, pp. 104-107
  9. Rabab M. Ramadan and Rehab F. Abdel – Kader "Face Recognition Using Particle Swarm Optimization-Based Selected Features" International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 2, No. 2, June 2009.
  10. Vidya V, Nazia Farheena, K Manikantan, S Ramachandran," Face recognition using threshold based DWT feature extraction and selective illumination enhancement technique", 2nd International Conference on Communication, Computing & Security [ICCCS-2012], Procedia Technology 6 ( 2012 ) 334 – 343
  11. D Rana, S Dalai, Bhawna, S Minz, N. Prasanna, T T Sahu," Comparative Analysis of Face Recognition using, DCT, DWT and PCA for Rotated faces", International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 – 0882, Volume 3, Issue 5, August 2014, Page-852-857.
  12. J. Kennedy and R. C. Eberhart, Particle swarm optimization, in: Proc. of IEEE International Conference on Neural Networks, Piscataway, NJ. pp. 1942-1948 (1995).
  13. J. Kennedy, R. C. Eberhart, Swarm intelligence, Academic Press, 2001
  14. Web References http://www. swarmintelligence. org/tutorials. php
  15. Apurba Gorai, Ashish Ghosh, "Gray-level Image Enhancement By Particle Swarm Optimization," 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC 2009).
  16. J. Pramanik, S. Dalai, D. Rana," Image Registration using Discrete Wavelet Transform and Particle Swarm Optimization", International Journal of Computer Science and Information Technologies (IJCSIT), Vol. 6. Issue. 2, March-2015, Page:1521-1525
  17. Yang, X. S. , Deb, S. , and Fong, S. , (2011), Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications, in: Networked Digital Technologies (NDT2011), Communications in Computer and Information Science, Vol. 136, Springer, pp. 53-66 (2011).
  18. K. Prajna, G. Sasi Bhushan Rao, K. V. V. S. Reddy, R. Uma Maheswari," A New Dual Channel Speech Enhancement Approach Based on Accelerated Particle Swarm Optimization (APSO)", I. J. Intelligent Systems and Applications, vol- 04, pp-1-10,2014
Index Terms

Computer Science
Information Sciences

Keywords

Image Registration Accelerated Particle swarm Optimization Particle Swarm Optimization DWT.

Powered by PhDFocusTM