The Detection of Ellipse by Using Modified Least Square Method in Image


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 4, No. 12, pp. 3200-3210, Dec. 1997
10.3745/KIPSTE.1997.4.12.3200,   PDF Download:

Abstract

In image processing we encounter some tasks to detect ellipse or to discriminate the curves. LSM is well used to fit curves to ellipse but it can fail to fit correctly when fitting to defected one. To overcome this problem, we propose Modified LSM. Only 2-parameters among 5-paramaters are to be determined by LSM, while 3-parameters are to be calculated by the constrain that the curve must pass 3 given points. Those 3 points are selected by operator so as to have elliptic feature. Such proposed MLSM shows better result than genunal LSM in case when the ellipse is severely defected. and is proved to be good method for determing the human dentition.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
J. Y. Chul and O. M. Song, "The Detection of Ellipse by Using Modified Least Square Method in Image," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 4, no. 12, pp. 3200-3210, 1997. DOI: 10.3745/KIPSTE.1997.4.12.3200.

[ACM Style]
Jang Yung Chul and Oh Moo Song. 1997. The Detection of Ellipse by Using Modified Least Square Method in Image. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 4, 12, (1997), 3200-3210. DOI: 10.3745/KIPSTE.1997.4.12.3200.