Comparison of Some Classical Edge Detection Techniques with their Suitability Analysis for Medical Images Processing

Authors

  • Sarkar S M.Sc. (CS) Siliguri, India
  • Mandal A Dept. of Computer Science and Application University of North Bengal Dist-Darjeeling, India

Keywords:

roberts, prewittt, sobel, LoG, canny, MRI

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.

References

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J. Canny, “A computational approach to edge detection”, IEEE Trans. Pattern Analysis and Machine. Intelligence., 679–698, 8(6), 1986.

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Published

2015-02-28

How to Cite

[1]
S. Sarkar and A. Mandal, “Comparison of Some Classical Edge Detection Techniques with their Suitability Analysis for Medical Images Processing”, Int. J. Comp. Sci. Eng., vol. 3, no. 1, pp. 81–87, Feb. 2015.

Issue

Vol. 3 No. 1 (2015): IJCSE Special Issue February Edition

Section

Research Article

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