International Journal of
Computer Sciences and Engineering

Scholarly, Peer-Reviewed and Fully Refereed Academic Research Journal

Flash News 

IJCSE, Vol.6, Issue.4 April 2018 edition will be published

Comparison of Some Classical Edge Detection Techniques with their Suitability Analysis for Medical Images Processing
Comparison of Some Classical Edge Detection Techniques with their Suitability Analysis for Medical Images Processing
Subhro Sarkar1 , Ardhendu Mandal2

Section:Research Paper, Product Type: Conference Paper
Volume-03 , Issue-01 , Page no. 81-87, Feb-2015

Online published on Feb 18, 2015

Copyright © Subhro Sarkar , Ardhendu Mandal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 
View this paper at   Google Scholar | DPI Digital Library
  XML View PDF Download  
Citation

IEEE Style Citation: Subhro Sarkar , Ardhendu Mandal, “Comparison of Some Classical Edge Detection Techniques with their Suitability Analysis for Medical Images Processing”, International Journal of Computer Sciences and Engineering, Vol.03, Issue.01, pp.81-87, 2015.

MLA Style Citation: Subhro Sarkar , Ardhendu Mandal "Comparison of Some Classical Edge Detection Techniques with their Suitability Analysis for Medical Images Processing." International Journal of Computer Sciences and Engineering 03.01 (2015): 81-87.

APA Style Citation: Subhro Sarkar , Ardhendu Mandal, (2015). Comparison of Some Classical Edge Detection Techniques with their Suitability Analysis for Medical Images Processing. International Journal of Computer Sciences and Engineering, 03(01), 81-87.
           
Abstract :
In digital image processing, understanding the scene is one of the most important and challenging tasks. Along with many features of an image like texture, color, line, point etc. edges are most vital feature that carries the information about the structure and overall geometry of objects the image is composed of. Edge detection is based on finding meaningful discontinuities in gray levels. This brief study is aimed towards exploring different edge detection techniques, the theories behind them and distinguishing their efficiency in finding suitable, meaningful edges in digital medical images.
Key-Words / Index Term :
roberts; prewittt; sobel; LoG;canny; MRI
References :
[1] Werner Frei and Chung-Ching Chen. Fast boundary detection: A generalization and a new algorithm, IEEE Trans. On Computers, C-26(10), 2006
[2] Rafael C. Gonzalez, Richard E. Wood, ”Digital Image Processing”, 2nd Edition.
[3] Rafael C. Gonzalez, “Digital Image processing Using Matlab”, 2004.
[4] LS. Davis, "A survey of edge detection techniques", Computer Graphics and Image Processing, 248-260, 4(3), 1975
[5] Rafael C. Gonzalez, Richard E. Wood, ”Digital Image Processing”, 2nd edition. Transactions on, 988–998, 100(10), 1977.
[6] Anil K. Jain, “Fundamentals of Digital Image Processing”.
[7] Bernd Jahne,”Digital Image Processing”, 5th Revised and Extended Edition, Measurement Science and Technology, 13(9), 2002
[8] J. Canny, “A computational approach to edge detection”, IEEE Trans. Pattern Analysis and Machine. Intelligence., 679–698, 8(6), 1986.