Research Article
Comparative Study on Various Edge Detection Techniques for 2-D Image
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 119 - Issue 22 |
| Published: June 2015 |
| Authors: Kamlesh Kumar, Jian- Ping Li, Saeed Ahmed Khan |
10.5120/21366-4394
|
Kamlesh Kumar, Jian- Ping Li, Saeed Ahmed Khan . Comparative Study on Various Edge Detection Techniques for 2-D Image. International Journal of Computer Applications. 119, 22 (June 2015), 6-10. DOI=10.5120/21366-4394
@article{ 10.5120/21366-4394,
author = { Kamlesh Kumar,Jian- Ping Li,Saeed Ahmed Khan },
title = { Comparative Study on Various Edge Detection Techniques for 2-D Image },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 119 },
number = { 22 },
pages = { 6-10 },
doi = { 10.5120/21366-4394 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Kamlesh Kumar
%A Jian- Ping Li
%A Saeed Ahmed Khan
%T Comparative Study on Various Edge Detection Techniques for 2-D Image%T
%J International Journal of Computer Applications
%V 119
%N 22
%P 6-10
%R 10.5120/21366-4394
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This research work is extended version of our previous work, which was carried out on 2-D image edge detection using daubachies db10 wavelet transform. Here in this paper, the db10 wavelet transform for edge detection is compared with most widely used edge detection techniques, such as Sobel, Prewitt, Roberts and Laplacian of Gaussian (LoG) and Canny. The comprehensive studies along with pros and cons of each edge method have been explained. 2-D image of different edge detection techniques have been generated in MATLAB and results are being compared.
References
- N. Senthilkumaran and R. Rajesh. "An Edge Detection Techniques for Image Segmentation", International Journal of Recent Trends in Engineering, Vol. 1(2), pp. 250-255, May. 2009.
- Rashmi, Mukesh Kumar. And Rohini, "Algorithm and Techniques on Various Edge Detection", Signal and Image Processing Journal, Vol. 4 (3), pp. 56-75, June. 20013.
- E. Brannock and M. Weeks, "Edge detection using wavelets", ACM SE 06, Melbourne, Florida, USA. ACM (March 2006,M. Wegmuller, J. P. von der Weid, P. Oberson, and N. Gisin, "High resolution fiber distributed measurements with coherent OFDR," in Proc. ECOC'00, 2000, paper 11. 3. 4, p. 109.
- Mohamed Abo-Zahhad, Reda Ragab Ghrieb, "Edge Detection with a Preprocessing Approach", Journal of Signal and Information Processing, pp. 123-134, November. 2014.
- Wang Luo, "Comparison for Edge Detection of Colony Images", International Journal of Computer Science and Network Security, Vol. 6 (9A), pp. 211-215, September. 2006.
- Jun li, "A Wavelet Approach to Edge Detection. " Thesis (Masters), Sam Houston State University, Huntsville, Texas, August. 2003.
- DAUBECHIES, Ingrid. Ten Lectures on Wavelets, Philadelphia, Pennsylvania, Society for Industrial and Applied Mathematics, 1992. CBMS-NSF regional conference series in applied mathematics; vol. 61. ISBN 0898712742.
- Li Wan-She, Zhao Jin, " Application of Wavelet Transform in Edge Detection", Image and Signal Processing Conference, Vol. 4, pp. 2173-2176, October. 2011.
- Polikar99, Robi Polikar, "The Wavelet Tutorial", An Overview of Wavelet Theory, Aug1999.
- J. J. Ding, "Time Frequency Analysis and Wavelet Transform", http://disp. ee. ntu. edu. tw/tutorial. php.
- Kamlesh Kumar, Jian-Ping Li, Saeed Ahmed Khan, "Image Edge Detection Scheme Using Wavelet Transform", International Computer Conference on Wavelet Active Media Technology and Information Processing, Vol. 11, pp. 261-265, December. 2014
Index Terms
Keywords