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Reseach Article

Image Edge Detection based on Soft Computing Approach

by Pushpajit A. Khaire, Nileshsingh V. Thakur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 51 - Number 8
Year of Publication: 2012
Authors: Pushpajit A. Khaire, Nileshsingh V. Thakur
10.5120/8061-1426

Pushpajit A. Khaire, Nileshsingh V. Thakur . Image Edge Detection based on Soft Computing Approach. International Journal of Computer Applications. 51, 8 ( August 2012), 12-14. DOI=10.5120/8061-1426

@article{ 10.5120/8061-1426,
author = { Pushpajit A. Khaire, Nileshsingh V. Thakur },
title = { Image Edge Detection based on Soft Computing Approach },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 51 },
number = { 8 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 12-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume51/number8/8061-1426/ },
doi = { 10.5120/8061-1426 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:49:51.316222+05:30
%A Pushpajit A. Khaire
%A Nileshsingh V. Thakur
%T Image Edge Detection based on Soft Computing Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 51
%N 8
%P 12-14
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Edge detection is one of the most important techniques used for image segmentation. Image segmentation remains a puzzled problem even after four decades of research. In this paper, a soft computing approach based on fuzzy logic is applied on histogram of an image to enhance edge detection technique. We used BSD images for experimentation and their respective ground truths for qualitative evaluation of proposed approach.

References
  1. J Patel and et al. , "Fuzzy Inference based Edge Detection System using Sobel and Laplacian of Gaussian Operators" ICWET'11, ACM 978-1-4503-0449-8, pp 694-697, February 25–26, 2011.
  2. Mahdi Setayesh and et al. , "Detection of Continuous, Smooth and Thin Edges in Noisy Images Using Constrained Particle Swarm Optimization" ACM 978-1-4503-0557-0, GECCO'11, Dublin, Ireland, pp 45-52, July 12–16, 2011.
  3. Abdallah A. Alshennawy, and Ayman A. Aly "Edge Detection in Digital Images Using Fuzzy Logic Technique" , World Academy of Science , Engineering and Technology pp 178-186, 2009.
  4. Kaustubha Mendhurwar and et al. , "Edge-Detection in Noisy Images Using Independent Component Analysis", ISRN Signal Processing, 9 pages, February 2011.
  5. Song Wang and et al. , "Evaluating Edge Detection through Boundary Detection" EURASIP Journal on Applied Signal Processing, Article ID 76278, Pages 1–15, June 2006.
  6. Bhadauria H S and Dewal M L, "Comparison of Edge Detection Techniques on Noisy Abnormal Lung CT Image before and after Using Morphological Filter" International Journal of Advanced Engineering & Application, pp 272-275, Jan. 2010.
  7. Raman Maini and Himanshu Aggarwal, "Study and Comparison of Various Image Edge Detection Techniques", International Journal of Image Processing (IJIP), Volume 3 pp-1-12, 2010.
  8. Chandra Sekhar Panda and Srikanta Patnaik, "Filtering Corrupted Image and Edge Detection in Restored Grayscale Image Using Derivative Filters" International Journal of Image Processing (IJIP), Volume 3, pp 105-119, 2010.
  9. J. Canny. : "A Computational Approach to Edge Detection. " IEEE Trans, Pattern Anal. Mach. Intell. 8 (6) 679-687, 1986.
  10. Raman Maini , J. S. Sohal," Performance Evaluation of Prewitt Edge Detector for Noisy Images", GVIP Journal, Volume 6,December 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Edge detection Fuzzy Logic Histogram Ground Truth BSD (Berkeley Segmentation Database)