CFP last date
22 April 2024
Reseach Article

The Hybrid Technique for Edge Detection using Bio-inspired Techniques

by Prachi Bansal, Mukesh Rawat
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 173 - Number 8
Year of Publication: 2017
Authors: Prachi Bansal, Mukesh Rawat
10.5120/ijca2017915336

Prachi Bansal, Mukesh Rawat . The Hybrid Technique for Edge Detection using Bio-inspired Techniques. International Journal of Computer Applications. 173, 8 ( Sep 2017), 9-13. DOI=10.5120/ijca2017915336

@article{ 10.5120/ijca2017915336,
author = { Prachi Bansal, Mukesh Rawat },
title = { The Hybrid Technique for Edge Detection using Bio-inspired Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 173 },
number = { 8 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume173/number8/28353-2017915336/ },
doi = { 10.5120/ijca2017915336 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:20:42.236288+05:30
%A Prachi Bansal
%A Mukesh Rawat
%T The Hybrid Technique for Edge Detection using Bio-inspired Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 173
%N 8
%P 9-13
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The image processing is the technique which is applied to process the digital information stored in the form of images. The edge detection is the technique of image processing which detect the points at which the image properties changed at steady rate. In this paper, the bee colony based edge detection technique is proposed which is the enhanced version of the existing edge detection technique based on ant colony optimization. The proposed technique is implemented in MATLAB and it is been analyzed that it performs well in terms of accuracy and execution time.

References
  1. Preeti Yadav, YogeshRathore, Aarti Yadav,” DWT Based CopyMove Image Forgery Detection”, International Journal of Advanced Research in Computer Science an Electronics Engineering Volume 1, Issue 5, July 2012
  2. S.Murali, Govindraj B. Chittapur ,Prabhakara H. S and Basavaraj S. Anami, “ Comparison and Analysis of Photo Image Forgery Detection Techniques”, International Journal on Computational Sciences & Applications (IJCSA) Vo2, No.6, December 2012
  3. Ms. P. G.Gomase, Ms. N. R. Wankhade, “ Advanced Digital Image Forgery Detection- A Review”, IOSR Journal of Computer Science (IOSR-JCE) e-ISSN: 2278-0661, p-ISSN: 2278-8727 PP 80-83 2014
  4. Andrea Costanzo, Irene Amerini, Roberto Caldelli, Mauro Barni, “Forensic Analysis of SIFT Keypoint Removal and Injection”, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 9, NO. 9, SEPTEMBER 2014
  5. S. Xiaoya and L. Yan, “Improved Artificial Bee Colony Algorithm for Assignment Problem”, Microelectronics & Computer, vol. 29, no. 1, 2012
  6. W. Hai-ning and S. Shou-qian, “Adaptive Ant Colony Optimization Algorithm Based on Maturity”, Microelectronics & Computer, vol. 27, no.8, pp. 140-144, 2010
  7. Manish Dixit, Sanjay Silakari and Nikita Upadhayay, “Nature Inspired Optimization Algorithms: An Insight to Image Processing Applications”, International Journal of Emerging Research in Management & Technology, Volume-4, Issue-5, 2015
  8. Xumin Liu, Xiaojun Wang, Na Shi and Cailing Li, “Image Segmentation Algorithm Based on Improved Ant Colony Algorithm”, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.7, No.3, pp.433-442, 2014
  9. Mandeep Kaur Bedi, Sheena Singh, “Comparative Study of Two Natural Phenomena Based Optimization Techniques”, International Journal of Scientific & Engineering Research Volume 4, Issue3, March, 2013
  10. Ms. P. G.Gomase, Ms. N. R. Wankhade, “Advanced Digital Image Forgery Detection- A Review”, IOSR Journal of Computer Science (IOSR-JCE) e-ISSN: 2278-0661, p-ISSN: 2278-8727 PP 80-83 2014
  11. Andrea Costanzo, Irene Amerini, Roberto Caldelli, Mauro Barni, “Forensic Analysis of SIFT Keypoint Removal and Injection”, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 9, NO. 9, SEPTEMBER 2014.
  12. Gagandeep Kaur, Manoj Kumar, “Study of various copy move forgery attack detection in digital images”, INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS, Vol.3 Issue 9, Pg.: 30-34 September 2015.
Index Terms

Computer Science
Information Sciences

Keywords

Edge detection Bee colony Optimization BCO Ant Colony Optimization (ACO) Artificial Bee colony Optimization (ABC) CUCKOO search (CS) Algorithm Bee Colony Optimization (BCO)