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A Comparative Study of Edge Detection Techniques

by Ranjeet Kumar Singh, Shashank Shekhar, Ram Bhawan Singh, Vinit Chauhan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 19
Year of Publication: 2014
Authors: Ranjeet Kumar Singh, Shashank Shekhar, Ram Bhawan Singh, Vinit Chauhan
10.5120/17631-5949

Ranjeet Kumar Singh, Shashank Shekhar, Ram Bhawan Singh, Vinit Chauhan . A Comparative Study of Edge Detection Techniques. International Journal of Computer Applications. 100, 19 ( August 2014), 5-8. DOI=10.5120/17631-5949

@article{ 10.5120/17631-5949,
author = { Ranjeet Kumar Singh, Shashank Shekhar, Ram Bhawan Singh, Vinit Chauhan },
title = { A Comparative Study of Edge Detection Techniques },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 19 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 5-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number19/17631-5949/ },
doi = { 10.5120/17631-5949 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:21.192984+05:30
%A Ranjeet Kumar Singh
%A Shashank Shekhar
%A Ram Bhawan Singh
%A Vinit Chauhan
%T A Comparative Study of Edge Detection Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 19
%P 5-8
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The edge detection is considered as a verysignificant technique in the field of Computer Vision. The term: 'edges' is used to define the boundaries between regions in a particular image, which supports with object segmentation and also in recognition of an object. In this paper authors focus a comparative study of edge detection techniques such as Sobel, Robert, Prewitt and impact of noise on it. The Experiment results find the edges of original image with the help of different type of edge detection technique such as Robert, Sobel and Prewitt and then we notice the quality of image with the help of PSNR, SNR, and Correlation Coefficient.

References
  1. Baisa L. Gunjal, R. R. Manthalkar" an overview oftransform domain robust digital image watermarking algorithms" Journal of Emerging Trends in Computing and Information Sciences, ISSN 2079-8407 Volume 2 No. 1
  2. Abdullah Bamatraf, Rosziati Ibrahim and Mohd. NajibMohd. Salleh" A New Digital Watermarking Algorithm Using Combination of Least Significant Bit (LSB) andInverse Bit" journal of computing, volume 3, issue 4, April 2011, ISSN 2151-9617
  3. SOBEL, I. , An Isotropic 3×3 Gradient Operator, Machine Vision for Three –Dimensional Scenes, Freeman, H. , Academic Pres. , NY, 376-379, 1990.
  4. SOBEL, I. , Camera Models and Perception, Ph. D. thesis, Stanford University, Stanford, CA, 1970.
  5. PREWITT, J. , Object Enhancement and Extraction, Picture Processing andPsychopictorics (B. Lipkin and A. Rosenfeld, Ed. ), NY, Academic Pres. , 1970.
  6. ROBERTS, L. G. , Machine Perception of Three-Dimensional Solids, in optical and Electro-OpticalInformation Processing ( J. Tippett, Ed. ), 159-197, MIT Pres. , 1965.
  7. CANNY, J. , A Computational Approach to Edge Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 8, 679-700, 1986
  8. ZIOU, D. and TABBONE, S. , Edge Detection Techniques - An Overview, Technical Report, No. 195, Dept. Math &Informatique, University de Sherbrook, 1997.
  9. SHIGERU, A. , Consistent Gradient Operators, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22 (3), 2000.
  10. Xiang Gen Xia, Charles Boncelet, and Gonzalo Arce (1998) Optics Express, 3(12), 497-511.
  11. Sobel operator - Wikipedia, the free encyclopedia"en. wikipedia. org/wiki/Sobel_operator#Simplified description.
  12. SOBEL, I. , An Isotropic 3×3 Gradient Operator, Machine Vision for Three –Dimensional Scenes, Freeman, H. , Academic Pres. , NY, 376-379, 1990.
  13. SOBEL, I. , Camera Models and Perception, Ph. D. thesis, Stanford University, Stanford, CA, 1970.
  14. PREWITT, J. , Object Enhancement and Extraction, Picture Processing and Psychopictorics (B. Lipkin and A. Rosenfeld, Ed. ), NY, Academic Pres. , 1970.
  15. ROBERTS, L. G. , Machine Perception of Three-Dimensional Solids, in optical and Electro-Optical Information Processing ( J. Tippett, Ed. ), 159-197, MIT Pres. 1965.
  16. CANNY, J. , A Computational Approach to Edge Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 8, 679-700, 1986
  17. ZIOU, D. and TABBONE, S. , Edge Detection Techniques - An Overview, Technical Report, No. 195, Dept. Math &Informatique, University de Sherbrook, 1997.
Index Terms

Computer Science
Information Sciences

Keywords

Edge detection Noise PSNR SNR Correlation Coefficient.

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