Technology of Graphic & Image
|
2840-2844

Improved B-spline curve fitting algorithm based on genetic algorithm

Gao Maoting
Feng Li
College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China

Abstract

B-spline curve fitting is applied to draw the changing trend of discrete data points, which usually obtains by data approximation or iterative method. It plays an important part in image processing and reverse engineering. Aiming at the situations where multi-peak, cuspidal point or discontinuity exists in the curve to fit, this paper proposed a B-spline curve fitting algorithm based on genetic algorithm. Firstly it used the penalty function to transform the constrained optimization problem into an unconstrained problem. Then it used an improved genetic algorithm to select an adaptive fitness function, and adjusted the number and positions of nodes adaptively by combining the simulated annealing algorithm to find the optimal node vector. The iterations continued until generating the final good reconstruction curve. Experimental results show that the algorithm improves accuracy and speeds up convergence effectively.

Foundation Support

国家自然科学基金资助项目(61703267)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0194
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 9
Section: Technology of Graphic & Image
Pages: 2840-2844
Serial Number: 1001-3695(2019)09-061-2840-05

Publish History

[2019-09-05] Printed Article

Cite This Article

高茂庭, 冯莉. 基于遗传算法的B样条曲线拟合改进算法 [J]. 计算机应用研究, 2019, 36 (9): 2840-2844. (Gao Maoting, Feng Li. Improved B-spline curve fitting algorithm based on genetic algorithm [J]. Application Research of Computers, 2019, 36 (9): 2840-2844. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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