Implementation and Comparision of Various Edge Detection Methods

Authors

  • Rekha Shukla  Department of Electronics and Communication, RGPV/NRI Institute of Information Science & Technology, Bhopal, Madhya Pradesh, Indian
  • Rajesh Kumar Rai  Department of Electronics and Communication, RGPV/NRI Institute of Information Science & Technology, Bhopal, Madhya Pradesh, Indian

Keywords:

Edge Detection, Digital Image Processing, Image segmentation

Abstract

Edge is a basic feature of an image. Edges can be defined as boundary between two different regions in an image. Edge detection refers to the process of identifying and locating sharp discontinuities in an image. Edge detection process significantly reduces the amount of data and filters out useless information, while preserving the essential structural properties in an image. .In this paper we are implementing various edge detection techniques as Prewitt, Robert, Sobel, Marr Hildrith and Canny operators through Matlab tool and then comparing through each other. We can see that canny edge detector performs better than all other edge detectors on various aspects.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2015-08-25

Issue

Volume 1, Issue 4, July-August-2015

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Rekha Shukla, Rajesh Kumar Rai, " Implementation and Comparision of Various Edge Detection Methods, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 4, pp.166-169, July-August-2015.