CFP last date
02 December 2024
Call for Paper
January Edition
CAE solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 02 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Property (Land) Registration Management Using Blockchain in Nigeria

A. Festus Osuolale Ojebiyi David-Daniel Seriki Oluwasogo
Random Articles
Reseach Article

Edge Detection using Third Order Difference Equation: A New Dimension

by G.j.joyce Mary, A.rijuvana Begum
journal cover thumbnail

Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 6
Year of Publication: 2015
Authors: G.j.joyce Mary, A.rijuvana Begum
10.5120/cae-1566

G.j.joyce Mary, A.rijuvana Begum . Edge Detection using Third Order Difference Equation: A New Dimension. Communications on Applied Electronics. 1, 6 ( April 2015), 10-14. DOI=10.5120/cae-1566

@article{ 10.5120/cae-1566,
author = { G.j.joyce Mary, A.rijuvana Begum },
title = { Edge Detection using Third Order Difference Equation: A New Dimension },
journal = { Communications on Applied Electronics },
issue_date = { April 2015 },
volume = { 1 },
number = { 6 },
month = { April },
year = { 2015 },
issn = { 2394-4714 },
pages = { 10-14 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume1/number6/335-1566/ },
doi = { 10.5120/cae-1566 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T18:37:42.831626+05:30
%A G.j.joyce Mary
%A A.rijuvana Begum
%T Edge Detection using Third Order Difference Equation: A New Dimension
%J Communications on Applied Electronics
%@ 2394-4714
%V 1
%N 6
%P 10-14
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Edges are the regions of object where there is a pointed change in intensity or gray level. Edge detection is one of the most frequently used operations in image analysis. If the edges are accurate, all the objects are located efficiently and the performance can be evaluated easily. Process of Edge detection is really a complicated task. Lot of research has been done in this field for many years. Object recognition, Target tracking, Segmentation, Data compression and Image matching are the most important areas of application where edge detection is highly required. This paper introduces a new edge detection technique using derivative mask. This mask is based on third order difference equation. The experimental results demonstrate the effectiveness of the new edge detector in terms of PSNR (Peak Signal to Noise Ratio) and MSE (Mean Square Error). Performance of this new mask compared with second order Laplacian Mask. Proposed mask is efficient and faster to implement. Experimental result on various images shows all the edges efficiently.

References
  1. Hankyu Moon, Rama Chellappa, Azreil Rosemfeld 2002,"Optimal edge based shape detection", IEEE Trans. on Image Processing ,vol . 11,No. 11,pp. 1209-1226.
  2. Gonzalez,R. C. Woods,R. E,2001 Digital Image Processing. Prentice Hall,3rd ed.
  3. William. Pratt. K, 1991 Digital Image Processing Willy- Interscience.
  4. Jayakumar,R. Suresh,B 2014 "A review on edge detection methods and techniques" IJARCCE,Vol. 3,Issue 4.
  5. Vijayarani,S. Vinupriya,M. 2013 "Performance analysis of canny and sobel edge detection algorithms in image mining ",IJIRCCE,Vol. 1,Issue 8, pp-1760-1767.
  6. Pinaki Pratim Acharjya, Ritaban Das, Dibyendu Ghoshal 2012" A study onimage edge detection using the gradients", International Journal of Scientific and Research Publications, Vol. 2, Issue 12.
  7. Shrivakshan,G. T, Dr. Chandrasekar,C 2012" A comparison of various edge detection techniques used in image processing" International Journal of Computer Science Issues, Vol. 9, Issue 5, No 1, pp-269-276.
  8. Kalpana,M, Kishorebabu,G, Sujatha,K 2012 "Extraction of edge detection using digital image processing techniques" International Journal Of Computational Engineering Research , Vol. 2, Issue. 5, pp-1562-1566.
  9. Masoud Nosrati ,Ronak Karimi Mehdi Hariri Kamran Malekian 2013"Edge detection techniques in processing digital images:Investigation of canny algorithm and gabor method" World Applied Programming Journal, Vol. 3, Issue 3, pp. 116- 121.
  10. Siva Vinayaka Pavana Hiranya ,P, Venkata Suresh, B , Sabhanayagam, T 2014 "Car license plate detection using structured component analysis "IJEDR, pp-196-200.
  11. Ratika Pradhan, Prasanna Pradhan, Reshmi Bhattacharjee, Divyendra Singh, "Edge detection using morphological operator: A new approach" International Journal of Advanced Research in omputer Science and Software Engineering,vol. 4,issue. 2,pp-84- 87,Feb. 2014.
  12. Elif Aybar , "Sobel edge detection method for MATLAB".
  13. Sabina Priyadarshini, Gadadhar Sahoo, 2010"A New Edge DetectionMethod based on Additions and Divisions" International Journal of Computer Applications, Vol. 9. No. 10,pp. 10-13.
  14. Rashmi,Mukesh Kumar, Rohini Saxena, 2013 "Algorithm and technique on various edge detection: a survey" SIPIJ,Vol. 4, No. 3, pp-65-75.
  15. Kiranjeet Kaur,Sheenam Malhothra, 2013"A survey on edge detection using different techniques",IJAIEM,Vol. 2,Issue. 4,pp-496-500.
  16. Chinu,Amit Chhabra, 2014"Overview and comparative analysis of edge detection techniques in digital image processing",International Journal of Information and Computer Technology,Vol. 4,No. 10,pp. 973-980.
  17. Ashita Vermani, Akshyata Ojha, 2015" Algorithms for edge detection and enhancement for real time images: A comparative study "IJIRCE,Vol. 3, Issue 2,pp-651-658.
  18. Shapiro and Stockman,2000, Computer Vision.
  19. Raman Maini,Dr. Himansu Agarwal, "Study and comparison of various image edge detection techniques", IJIPVol. 3,Issue. 1.
Index Terms

Computer Science
Information Sciences

Keywords

Edge Third Order Difference equation Mask PSNR MSE

Powered by PhDFocusTM