Articles | Volume 13, issue 1
https://doi.org/10.5194/ms-13-577-2022
https://doi.org/10.5194/ms-13-577-2022
Research article
 | 
23 Jun 2022
Research article |  | 23 Jun 2022

Roundness error evaluation in image domain based on an improved bee colony algorithm

Benchi Jiang, Xin Du, Shilei Bian, and Lulu Wu

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Latest update: 24 Dec 2024
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Short summary
In this paper, the traditional bee colony algorithm is improved, and its roundness error evaluation method is improved. For the roundness profile data of the part, the improved bee colony algorithm is used to determine the position and size of the circle. In order to improve the efficiency of the algorithm, the local search region of the population initialization is determined according to the definition of roundness error. The evaluation accuracy of this algorithm is better than common ones.