COMPARATIVE ANALYSIS OF VARIOUS EDGE DETECTION MECHANISMS

Authors

  • Nitika Deptt. Of Computer EngineeringJan Nayak Choudhary Devi Lal Memorial College of Engineering,Sirsa,India
  • MRS Vidhu Kiran Deptt. Of Computer EngineeringJan Nayak Choudhary Devi Lal Memorial College of Engineering,Sirsa,India

Keywords:

Edge detection, Canny Edge detection, Sobel operator

Abstract

Edges are known as boundaries between different textures. Edge can also be defined as discontinuities in image(graphics) intensity from one pixel to another. Edges for an image(graphics)are always important characteristics that offer an indication for a higher frequency. Detection of the edges for an image(graphics)may help for image(graphics)segmentation, data compression, and also help for well matching, such as image(graphics)reconstruction and so on. There are many methods to make edge detection. most common method for edge detection is to calculate differentiation of an image. Edge detection is an image(graphics)processing technique for finding boundaries of objects within images. It works by detecting discontinuities in brightness. Edge detection is used for image (graphics)segmentation and data extraction in areas such as image(graphics)processing, computer vision, and machine vision. Common edge detection algorithms include Sobel, Canny, Prewitt, Roberts, and fuzzy logic methods.

References

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Published

30-09-2015

How to Cite

Nitika, & MRS Vidhu Kiran. (2015). COMPARATIVE ANALYSIS OF VARIOUS EDGE DETECTION MECHANISMS. International Journal for Research Publication and Seminar, 6(3). Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/637

Issue

Vol. 6 No. 3 (2015): Volume 6 | Issue 3 | 2015

Section

Original Research Article

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Copyright (c) 2015 International Journal for Research Publication and Seminar

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