We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Grid Enabled Environment for Image Processing Applications: A Review

by L. Ramaparvathi, R. Maruthi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 19
Year of Publication: 2013
Authors: L. Ramaparvathi, R. Maruthi
10.5120/11032-5534

L. Ramaparvathi, R. Maruthi . Grid Enabled Environment for Image Processing Applications: A Review. International Journal of Computer Applications. 65, 19 ( March 2013), 18-24. DOI=10.5120/11032-5534

@article{ 10.5120/11032-5534,
author = { L. Ramaparvathi, R. Maruthi },
title = { Grid Enabled Environment for Image Processing Applications: A Review },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 19 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 18-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number19/11032-5534/ },
doi = { 10.5120/11032-5534 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:19:15.977125+05:30
%A L. Ramaparvathi
%A R. Maruthi
%T Grid Enabled Environment for Image Processing Applications: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 19
%P 18-24
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image processing and Grid computing are finding its applications in almost all promising areas of research. Image manipulation tasks involve large data store and computational power. The Grid infrastructure is a suitable computing platform to meet the computational requirement for the analysis of real time image processing applications. This paper aims to present a review on the emerging applications and tools using Grid computing technology in the field of image processing.

References
  1. Danapetcu, Silviupanica, Andreieckstein, 2007. Satellite Image Processing On Computational Grids. Proceedings of the 9th International Conference On Automatic Control, Modeling And Simulation. May 27-29, 2007
  2. Jiakui Tang, Aijun Zhang, Shengyang Li, 2007. Preliminary Research on Grid-based Remote Sensing Image distributed Processing. IFIP International Conference on Network and Parallel Computing – Workshop. 2007.
  3. Zhang, X. Chen, S. Fan, J. Wei, X. , 2009. A Grid Environment Based Satellite Images Processing, proceedings of the 1st International Conference on Information Science and Engineering (ICISE), 26-28 Dec. 2009 .
  4. Satyanarayan Rao, K. K. Pattanaik, Mahua Bhattacharya, 2010. Toolkit for Grid-Enabled High Resolution Image Processing. 2nd International Conference on Signal Processing Systems (ICSPS), 2010.
  5. Ovidiu Muresan, Dorian Gorgan, Valentin Cristea, 2006. Satellite Image Processing Applications in MedioGRID. Fifth International Symposium on Parallel and Distributed Computing (ISPDC'06) 2006 pp. 253 - 262.
  6. H. K. Huang, et. al, 2005. Data Grid for Large-Scale Medical Image Archive and Analysis, Multimedia. Proceedings of the 13th annual ACM international conference on Multimedia,2005 pp 1005-1013.
  7. C. Germain et. al, 2005. Grid-enabling medical image analysis. Proceedings of the IEEE International Symposium on Cluster Computing and the Grid. 2005, pp 487,495.
  8. Tristan Glatard et. al. ,2005. Grid-enabled work?ows for data intensive medical applications. Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems, 2005.
  9. J. Montagnat et. al, 2004. Medical images simulation, storage, and processing on the European DataGrid testbed. Journal of Grid Computing ,Vol 2, 2004 pp. 387-400.
  10. Te-Wei Chiang et. al. , 2007. A Hierarchical Grid-Based Indexing Method for Content-Based Image Retrieval. Proceedings of the Third International Conference on International Information Hiding and Multimedia Signal Processing (IIH-MSP 2007) - Volume 01
  11. Chris Town, Karl Harrison, 2010. Large-scale grid computing for content-based image retrieval. Aslib Proceedings, Vol. 62 Iss: 4/5, pp. 438 – 446.
  12. J. Montagnat, 2007. Texture-based Medical Image Indexing and Retrieval on Grids, Medical Imaging Technology. Vol. 25, No. 5 Nov 2007.
  13. Kheira Belkheir and Linda Zaoui, 2010. Content-Based Image Retrieval in Grid's Environment. proceedings of the Fourth International Conference on Neural, Parallel & Scientific Computations, August 11-14, 2010.
  14. Ehud Meiri, Amnon Barak, 2007. Parallel compression of correlated files cluster. IEEE International Conference on Cluster Computing, 2007, pp. 285-292.
  15. Shannon Hastings et. al. , 2003. Image Processing for the Grid: A Toolkit for Building Grid-enabled Image Processing Applications. Cluster Computing and the Grid 2003. Proceedings. CCGrid 2003. 3rd IEEE/ACM International Symposium on (2003), pp. 36-43.
  16. I. Foster, C. Kesselman, 1999. The Grid: Blueprint for a New Computing Infrastructure, Morgan Kaufmann Publishers, Inc. , SanFrancisco,CA, 1999.
  17. Zhanfeng Shen et al. , 2004. Architecture design of grid GIS and its applications on image processing based on LAN. Information Sciences, Volume 166, Issues 1-4, 29 October 2004, Pages 1-17, ISSN 0020-0255.
  18. Vijay S. Kumar et. al, 2007. Large-Scale Bio-medical Image Analysis in Grid Environments. IEEE Transactions On Information Technology In Biomedicine, Vol. 12, No. 2, March 2008.
  19. Haifang Zhou; Yu Tang; Xuejun Yang; Hengzhu Liu, 2007. Research on Grid-Enabled Parallel Strategies of Automatic Wavelet-based Registration of Remote-Sensing Images and Its Application in ChinaGrid. Image and Graphics, 2007. ICIG 2007. Fourth International Conference on , vol. , no. , pp. 725-730, 22-24 Aug. 2007.
  20. HongKee Moon; Genovesio, A, 2008. IM. Grid, a Grid computing approach for Image Mining of High Throughput-High Content Screening. Grid Computing, 2008 9th IEEE/ACM International Conference on , vol. , no. , pp. 334-339, Sept. 29 2008-Oct. 1 2008.
  21. Teo, Y. M. ; Low, S. C. ; Tay, S. C. ; Gozali, J. P. , 2003. Distributed geo-rectification of satellite images using Grid computing. Parallel and Distributed Processing Symposium, 2003. Proceedings. International , vol. , no. , pp. 8 pp. , 22-26 April 2003.
  22. Boccia, V. ; Guarracino, M. R. ; D'Amore, L. ; Laccetti, G. , 2005. A grid enabled PSE for medical imaging: experiences on MedIGrid. Computer-Based Medical Systems, 2005. Proceedings. 18th IEEE Symposium on , vol. , no. , pp. 529- 536, 23-24 June 2005.
  23. Jianwei Wu, 2010. Design of Advanced Remote Sensing Data Processing Grid Service. Management and Service Science (MASS), 2010 International Conference on , vol. , no. , pp. 1-4, 24-26 Aug. 2010.
  24. Chuanjie Xie; Gaohuan Liu; Shaobin Zeng; Jiaqi Li, 2009. Service-Oriented Parallel Remote Sensing Image Fusion on the Grid. Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on , vol. , no. , pp. 1-4, 19-20 Dec. 2009.
  25. Bonetto, P. ; Oliva, G. ; Formiconi, A. R. ,2003. MedIGrid: a medical imaging environment based on a grid computing infrastructure. Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE , vol. 2, no. , pp. 1338- 1341 Vol. 2, 17-21 Sept. 2003.
  26. Pitkanen, M. J. ; Xin Zhou; Hyvarinen, A. ; Muller, H. , 2008. Using the Grid for Enhancing the Performance of a Medical Image Search Engine. Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on , vol. , no. , pp. 367-372, 17-19 June 2008.
  27. F. Cannavo; G. Nunnari; D. Giordano; C. Spampinato, 2006. Variational Method for Image Denoising by Distributed Genetic Algorithms on GRID Environment. Enabling Technologies: Infrastructure for Collaborative Enterprises, 2006. WETICE '06. 15th IEEE International Workshops on , vol. , no. , pp. 227-232, June 2006
  28. Zhanfeng Shen, Jiancheng Luo, Chenghu Zhou, Guangyu Huang, Weifeng Ma and Dongping Ming, 2005. System design and implementation of digital-image processing using computational grids. Computers & Geosciences Volume 31, Issue 5, June 2005, Pages 619-630
  29. Jing Tian; Kai-Kuang Ma, 2007. Super-resolution Imaging Using Grid Computing. Cluster Computing and the Grid, 2007. CCGRID 2007. Seventh IEEE International Symposium on , vol. , no. , pp. 293-300, 14-17 May 2007
  30. Honggen Xu; Hongchao M; Hanwu Zhang; Jianwei Wu; Zongyue Wang; Xun Zeng; Liang Zhong, 2007. The Design of Registry Service for Remote Sensing Data Processing Software Based on Grid Computing. Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on , vol. , no. , pp. 6002-6005, 21-25 Sept. 2007
  31. Zhanfeng Shen, Jiancheng Luo,, Guangyu Huang, Dongping Ming,Weifeng Mac and Hao Shenga, 2007. Distributed computing model for processing remotely sensed images based on grid computing. Information Sciences Volume 177, Issue 2, 15 January 2007, Pages 504-518.
  32. Dagmar Krefting , Michal Vossberg , Andreas Hoheisel and Thomas Tolxdorff, 2010. Simplified implementation of medical image processing algorithms into a grid using a workflow management system. Future Generation Computer Systems Volume 26, Issue 4, April 2010, Pages 681-684
  33. Jason C. Crane, Forrest W. Crawforda, and Sarah J. Nelsona, 2006. Grid enabled magnetic resonance scanners for near real-time medical image processing" Journal of Parallel and Distributed Computing Volume 66, Issue 12, December 2006, Pages 1524-1533.
  34. Andrew Todd-Pokropeka, and Robin Leinster, 2005. Validation and evaluation of medical image processing procedures: Requirements for a Grid-enabled platform. International Congress Series, Volume 1281, May 2005, Pages 459-464, CARS 2005: Computer Assisted Radiology and Surgery.
  35. Sheng-yang LI, Chong-guang ZHU, and Ping-ju GE, 2006. Remote Sensing Image Deblurring Based on Grid Computation" Journal of China University of Mining and Technology, Volume 16, Issue 4, December 2006, Pages 409-412.
  36. R. Bellotti et. al, 2007. Distributed medical images analysis on a Grid infrastructure. Future Generation Computer Systems, Volume 23, Issue 3, March 2007, Pages 475-484.
  37. Chao-Tung Yang, Chiu-Hsiung Chen, and Ming-Feng Yang, 2010. Implementation of a medical image file accessing system in co-allocation data grids. Future Generation Computer Systems, Volume 26, Issue 8, October 2010, Pages 1127-1140.
  38. Brent J. Liu, M. Z. Zhou and J. Documet, 2005. Utilizing data grid architecture for the backup and recovery of clinical image data. Computerized Medical Imaging and Graphics,Volume 29, Issues 2-3, March-April 2005, Pages 95-102, Imaging Informatics.
  39. Dorian Gorgan, Victor Bacua, Teodor Stefanuta, Denisa Rodilaa, and Danut Mihona, 2012. Earth Observation application development based on the Grid oriented ESIP satellite image processing platform. Computer Standards & Interfaces,. 34(6): 541-548 (2012).
  40. Giovanni B. Frisoni, "NeuGRID/outGRID/ DECIDE/N4U :Developing a Global Imaging Laboratory based on Grid/Cloud computing to help develop drugs for Alzheimer's disease" Aug 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Grid computing remote sensing images medical images image retrieval

Powered by PhDFocusTM