Ellipse Fitting Based on a Hybridl1l2-Norm Algorithm

Lingling Luo; Wenqing Yang; Wei Ren; Xiaojun Yu

Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part II

Research Article

Ellipse Fitting Based on a Hybridl1l2-Norm Algorithm

Download

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-030-72795-6_61,
    author={Lingling Luo and Wenqing Yang and Wei Ren and Xiaojun Yu},
    title={Ellipse Fitting Based on a Hybridl1l2-Norm Algorithm},
    proceedings={Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part II},
    proceedings_a={SIMUTOOLS PART 2},
    year={2021},
    month={4},
    keywords={Ellipse fitting l1l2-Norm Split-Bregman iteration},
    doi={10.1007/978-3-030-72795-6_61}
}

Lingling Luo
Wenqing Yang
Wei Ren
Xiaojun Yu
Year: 2021
Ellipse Fitting Based on a Hybridl1l2-Norm Algorithm
SIMUTOOLS PART 2
Springer
DOI: 10.1007/978-3-030-72795-6_61

Lingling Luo¹, Wenqing Yang², Wei Ren², Xiaojun Yu¹

1: School of Mathematics and Statistics, Guizhou University of Finance and Economics
2: Guangzhou Power Supply Bureau of Guangdong Power Grid Co.

Abstract

This paper proposes a new efficient direct method noted the Hybridl1l2-Norm Model for fitting ellipse to resist the Gaussian and Laplacian disturb simultaneously which will be solved by split Bregman iteration and shrink operator. The experimental results reveal that the proposed method not only works well with Gaussian Noise data but Laplacian Noise data and its mixed version. Several experimental examples are reported to demonstrate the robustness of the proposed approach.

Keywords: Ellipse fitting l1l2-Norm Split-Bregman iteration

Published: 2021-04-26
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-72795-6_61

Ellipse Fitting Based on a Hybridl1l2-Norm Algorithm

Abstract

About EAI

Community

Publish with EAI