|A Review: Circle Detection Using Modified Canny Edge Detection Algorithm|
|Authors:||Nitasha, Reecha Sharma|
In our routine life or day-to-day experiences, many objects that perceive are in circular form like coins, rings etc. The detection of their presence in an image reliably and efficiently is an important task in image processing. The Hough transform techniques for detection of shapes require a huge memory space for data processing, hence needs a lot of time in computing the location of the data space, writing to and searching through the memory space. In this paper, it is propose a efficient scheme for circle detection in grayscale digital images. First, it detect edges of the digital image using Canny Edge Detection Technique. Second, for contour tracing applies Freeman Chain Code. This algorithm can be applied to static images as well as vedio.
Author(s): Nitasha, Reecha Sharma
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Vol.1 - Issue 3 ( May- 2012)
Number of Citations for this article: Data not Available
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