Paper
7 August 2015 A method for recognizing of concentric circles characteristic parameters based on Gaussian sub-pixel edge detection
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Abstract
Before using a series of concentric circles as the target, the target needs to be pre-processed to get characteristic parameters. This paper discusses a new method based on Gaussian sub-pixel to detect the edge of concentric circles, and get the coordinate of the center and radius of concentric circles based on the cross ratio invariability with five points which leads to more stable data. In the end, Levenberg-Marquard algorithm is used to approach the results. To verify the results, two methods are used both in the hands of experiment and simulation. These two results illustrate that the method we discusses have advantages on the accuracy.
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Mingnuo Shang, Changjie Liu, and Luhua Fu "A method for recognizing of concentric circles characteristic parameters based on Gaussian sub-pixel edge detection", Proc. SPIE 9623, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 96231E (7 August 2015); https://doi.org/10.1117/12.2193563
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KEYWORDS
Edge detection

Cameras

Detection and tracking algorithms

Distortion

Gaussian filters

Neodymium

Target detection

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