CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

An Analysis of Edge Extraction for MRI Medical Images through Mathematical Morphological Operators Approaches

Published on February 2013 by K. Shri Sarika, P. Sudha
journal_cover_thumbnail

International Conference on Research Trends in Computer Technologies 2013
Foundation of Computer Science USA
ICRTCT - Number 1
February 2013
Authors: K. Shri Sarika, P. Sudha
036a91a5-742b-45f5-9f82-e43c674b087d

K. Shri Sarika, P. Sudha . An Analysis of Edge Extraction for MRI Medical Images through Mathematical Morphological Operators Approaches. International Conference on Research Trends in Computer Technologies 2013. ICRTCT, 1 (February 2013), 9-13.

@article{
author = { K. Shri Sarika, P. Sudha },
title = { An Analysis of Edge Extraction for MRI Medical Images through Mathematical Morphological Operators Approaches },
journal = { International Conference on Research Trends in Computer Technologies 2013 },
issue_date = { February 2013 },
volume = { ICRTCT },
number = { 1 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 9-13 },
numpages = 5,
url = { /proceedings/icrtct/number1/10801-1003/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Research Trends in Computer Technologies 2013
%A K. Shri Sarika
%A P. Sudha
%T An Analysis of Edge Extraction for MRI Medical Images through Mathematical Morphological Operators Approaches
%J International Conference on Research Trends in Computer Technologies 2013
%@ 0975-8887
%V ICRTCT
%N 1
%P 9-13
%D 2013
%I International Journal of Computer Applications
Abstract

Medical image processing plays a major role in diagnosing of various human diseases, these images may be affected from noises i. e. unwanted signals or disturbance during acquisition thus it leads to disorder in identifying the affected human organs, in order to overcome this problem various pre-processing techniques are involved. The main objective is to segment the MRI medical image through extraction of the edges for the betterment of diagnosis process of an affected human organ. Edge extraction is done by adding the morphological operations such as erosion, dilation etc with existing edge detectors such as sobel, compass operators. This paper involves in evaluating the quality of an image and edge strength through parameters PSNR, MSE, Edge stability measures.

References
  1. N. Senthilkumaran1andR. Rajesh"EdgeDetectionTechniques for Image Segmentation–A Survey of Soft Computing", International Journal of Recent Trends in Engineering,Vol. 1,No. 2, May2009,pp. 250-254
  2. Davis,L. S. ,"Edge detection techniques",Computer Graphics Image Process"(4),1995,pp. 248-270.
  3. Shi,J. and Malik,J. "Normalized cuts and image segmentation", IEEE TransPattern Anal. Mach. Intell. , 22(8), 2008,pp. 888–905.
  4. Mausumi Acharyya and Malay K. Kundu,"Image Segmentation Using Wavelet Packet Frames and Neuro-Fuzzy Tools",International Journal of Computational Cognition,Vol. 5,No. 4,Dec. 2007,pp. 27- 43.
  5. J. Matthews. "An introduction to edge detection: The sobel edge detector,"
  6. R. C. Gonzalez and R. E. Woods. "Digital Image Processing". 2nd ed. Prentice Hall, 2002.
  7. R. Gonzalez and R. Woods. 1992. Digital Image Processing. Addison -Wesley, New York.
  8. N. SenthilKumaran and Rajesh," Edge Detection Techniques for Image Segmentation-A Survey", Proceedings of the International Conference on Managing Next Generation Software Applications(MNGSA-08),2007,pp. 749-760.
  9. R. Gonzalez and R. Woods. 1992. Digital Image Processing, Third Edison, PHI Learning, New Delhi-2008.
  10. Rafael C. Gonzalez, Richard E. Woods, Steven Eddins, "Digital Image Processing Using MATLAB", Pearson Education, Inc. and Dorling Kindersley, Fourth Impression, 2008, pg no. 398 – 407.
  11. M. I. Rajab,M. S Woolfson and S. P. Morgan,"Application of region based segmentation and neural network edge detection to skin lesion,"computerized medical imaging and graphics,vol. 28 pp.
  12. S. Lakshmi and Dr. V. Sankaranarayanan,"A study of Edge Detection Techniques for segmentation computing Approches"
  13. S. Jayaraman,S. Esakkirajan,T. Veerakumar,"Digital image processing",Tata McGraw Hill.
  14. Anil. K. Jain,"Fundamentals of Digital Image Processing"
  15. Ismail Avcibas,Bulent sankur,Khalid Sayood,"Statistical evaluation of image quality metrics"
Index Terms

Computer Science
Information Sciences

Keywords

Medical Image Edge Detection Morphological Operators