A Stable Least Squares Ellipses Fitting Algorithm Based on Zernike Moments

Abstract:

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This paper presents a stable least squares ellipses fitting algorithm based on Zernike orthogonal moments. The algorithm uses Zernike orthogonal moments for sub-pixel edge detection, and a mask of seven multiply seven was derived in the meantime. The optimal ellipse parameters were computed according to the data points extracted previously. This stable, robust and non-iterative algorithm can be easily implemented. The experiment results show that the proposed algorithm is effective in various situations.

Info:

Periodical:

Edited by:

Hun Guo, Zuo Dunwen, Tang Guoxing

Pages:

199-203

DOI:

10.4028/www.scientific.net/AMR.142.199

Citation:

X. L. Meng et al., "A Stable Least Squares Ellipses Fitting Algorithm Based on Zernike Moments", Advanced Materials Research, Vol. 142, pp. 199-203, 2011

Online since:

October 2010

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Price:

$35.00

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