Paper Title:
A Stable Least Squares Ellipses Fitting Algorithm Based on Zernike Moments
  Abstract

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, W. T. He, C. Zhao, "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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