TITLE:
Template Matching for Profile Measurement Based on Levenberg-Marquardt Algorithm
AUTHORS:
Qingxia Xu, Xiaodong Chai, Shubin Zheng, Wenfa Zhu, Lei Zhang
KEYWORDS:
Template Matching, Levenberg-Marquardt Algorithm, Error Function, Parameter Optimization
JOURNAL NAME:
American Journal of Industrial and Business Management,
Vol.4 No.7,
July
24,
2014
ABSTRACT: This paper proposes
the Levenberg-Marquardt algorithm to solve the problem of a big error while
matching the measurement profile with the template profile. In order to achieve
more accurate matching result, error function of the two profiles should be
structured firstly. And the next step is optimizing the parameters of transform
matrix of error function. To be specific, the error is about the corresponding
point distance, and optimization parameters are the rotation variables and the
translation variables of the transformation matrix. The experimental result of
the system shows that using the method of template matching for profile
measurement based on Levenberg-Marquardt algorithm is feasible.