Enhancing Edge Detection Mechanism using Canny Algorithm

Authors

  • Nitika JCD Memorial college of Engineering(affilated with GJU,Hisar)
  • Vipul Goyal Assistant Professor

Keywords:

Edge detection, Canny Edge detection, Sobal operator

Abstract

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

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Published

30-06-2015

How to Cite

Nitika, & Vipul Goyal. (2015). Enhancing Edge Detection Mechanism using Canny Algorithm. International Journal for Research Publication and Seminar, 6(2). Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/719

Issue

Vol. 6 No. 2 (2015): Volume 6 | Issue 2 | May-Jun 2015

Section

Original Research Article

License

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

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