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Comparison Between Circular Hough Transform And Modified Canny Edge Detection Algorithm For Circle Detection


Comparison Between Circular Hough Transform And Modified Canny Edge Detection Algorithm For Circle Detection
Authors : Nitasha, Shammi Sharma, Reecha Sharma
Publication Date: 31-05-2012

Authors

Author(s):  Nitasha, Shammi Sharma, Reecha Sharma

Published in:   International Journal of Engineering Research & Technology

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

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 3 ( May- 2012)

e-ISSN:   2278-0181

Abstract

Abstract: The circle is one of the most common shapes in our daily life, and indeed the universe. Planets, the movement of the planets, natural cycles, natural shapes - there are circles absolutely everywhere. The circle is one of the most complex shapes, and indeed the most difficult for man to create, yet nature manages to do it perfectly. The centers of flowers, eyes, and many more things are circular and we see them in our every-day life. Detection of circles is very important for us. In this paper, first detect a circle with Circular Hough Transform and then with Modified Canny Edge Detection Algorithm. Coding is done in MATLAB R2010a. It proves that Modified Canny Edge Detection Algorithm is best algorithm for circle detection as compared to Circular Hough Transform. The Modified Canny Edge Detection Algorithm is very fast algorithm to detect circles from the images as compared to Circular Hough Transform.

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