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Reseach Article

Web Image Processing using new Edge Detection Algorithm

Published on None 2011 by S.Prabhu, DR.D.Tensing, K.John Peter
journal_cover_thumbnail
International Conference on Emerging Technology Trends
Foundation of Computer Science USA
ICETT2011 - Number 2
None 2011
Authors: S.Prabhu, DR.D.Tensing, K.John Peter
4e6bc213-c9a3-4ff1-a074-a967764e848d

S.Prabhu, DR.D.Tensing, K.John Peter . Web Image Processing using new Edge Detection Algorithm. International Conference on Emerging Technology Trends. ICETT2011, 2 (None 2011), 9-13.

@article{
author = { S.Prabhu, DR.D.Tensing, K.John Peter },
title = { Web Image Processing using new Edge Detection Algorithm },
journal = { International Conference on Emerging Technology Trends },
issue_date = { None 2011 },
volume = { ICETT2011 },
number = { 2 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 9-13 },
numpages = 5,
url = { /proceedings/icett2011/number2/3502-icett012/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Emerging Technology Trends
%A S.Prabhu
%A DR.D.Tensing
%A K.John Peter
%T Web Image Processing using new Edge Detection Algorithm
%J International Conference on Emerging Technology Trends
%@ 0975-8887
%V ICETT2011
%N 2
%P 9-13
%D 2011
%I International Journal of Computer Applications
Abstract

This Image processing plays a vital role in complex image manipulation and understanding more feasible. it can be used either in a general manner or in specific domains such as medical, satellite. But we are facing the problem in unconnected image processing .Software, the article proposes a web based on line image processing software architecture with excellent edge detection algorithm.. in this algorithm that is used to developing detect the edges in the satellite image. The algorithm result is very accuracy is correct combining the actual research work, applying the satellite image to find out the edge detection method. The software results show the system has a feature of good practically. Multiplatform and security, which can fit different needs of distributed image process

References
  1. Image Processing and MultimediaA Web based Framework For Distributed Medical Image
  2. Processing Using Image Markup Language (IML) Release Ieee 2009 Third Uksim European Symposium On computer Mdeling And Simulating
  3. Development and Application of Online Image Processing System based on Applet and JAI. 2009 International Conference on Environmental science and Information Application Technology
  4. Sobel, I., Feldman,G., A 3x3 Isotropic Gradient Operator for Image Processing", presented at a talk at the Stanford Artificial Project in 1968, unpublished.
  5. Canny, J., 1986, A Computational Approach to Edge Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 8, Issue 6, pp. 679 – 698
  6. Suzuki, K., Horiba, I., and Sugie, N., 2003, Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Image, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 25 , Issue 12, pp. 1582 –1596
  7. Guowei T., Xiaoqing Z., Fangzhou Z., Zhenying J.,2009, X-Ray Image Edge Detection Based on Wavelet Transform and Lipschitz Exponent, Second International Symposium on Intelligent Information Technology and Security Informatics, pp. 56-66
  8. Ganguly, D., Mukherjee, S., Mitra, K., Mukherjee,P., 2009, A Novel Approach for Edge Detection of Images, nternational Conference on Computer Genming, C. and Bouzong, Y., 1989. “A New Edge Detector with Thinning and Noise resisting Abilities” , Journal ofElectronics, China, Volume 6, No. 4, 314- 319, DOI: 10.10071BF02778914.
  9. Qixiang, Ye, Wen, G., Weiqquiang, W. 2003. “A New Texture Insensitive Edge Detection Method”, Institute of Computing Technology, Chinese Academy of Sciences ,China, ICICS-PCM 2003, 15-18 Dec 2003, Singapore.
  10. Caragea S. 2008. Fondater, Administrator and Chief Editor, IntelliProject, “Difference Edge Detection“, Licensed under Intelli Project open License, Romania,
  11. Rital, S., Bretto A., Cherifi, H., Aboutajdine, D. 2002. “A combinatorial edge detection Algorithm on Noisy images”, VIPromCom-2002, 4th EURASIP- IEEE Region 8 International Symposium on Video.
Index Terms

Computer Science
Information Sciences

Keywords

web image processing ASP. Net.