电子测量与仪器学报

丁伟利,郝增号.基于 YOLOv4-tiny 和完整度排序的标志物快速圆检测算法[J].电子测量与仪器学报,2022,36(2):12-22

基于 YOLOv4-tiny 和完整度排序的标志物快速圆检测算法

Fast circle detection algorithm for markers based onYOLOv4-tiny and completeness ranking

DOI：

英文关键词:YOLO circle detection markers completeness ranking object detection

基金项目:国家重点研发计划(2018YFB1308302，2018YFB1308300)、国家自然科学基金（62073279）项目资助

作者	单位
丁伟利	1. 燕山大学电气工程学院，2. 智能控制系统与智能装备教育部工程中心
郝增号	1. 燕山大学电气工程学院

Author	Institution
Ding Weili	1. Institute of Electrical Engineering, Yanshan University,2. Engineering Research Center of Intelligent Control System and Intelligent Equipment, Ministry of Education
Hao Zenghao	1. Institute of Electrical Engineering, Yanshan University

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中文摘要:

针对现有圆检测算法在高分辨率标志物图像中检测效率低的问题,提出了一种新型标志物快速圆检测算法。首先通过 YOLOv4-tiny 算法快速定位图像中的标志物,滤除背景干扰,然后利用提出的弧段完整度排序方法从标志物中筛选出不同完整度的候选圆,最后通过距离和方向角约束筛选并拟合得到所有的标志物圆。基于高分辨率标志物图像数据集进行了实验,实验结果表明算法具有极快的检测速度,在检测精度基本不变时,算法的检测时间只有 EDcircle 算法的 11%,AAMED 算法的 5. 0%, 为需要快速定位标志物的视觉定位、标定等任务提供了一种高效的解决方案。

英文摘要:

Aiming at the low detection efficiency of existing circle detection algorithms in high-resolution marker images, this paper proposes a new type of rapid circle detection algorithm for markers. First, the YOLOv4-tiny algorithm is used to quickly locate the markers in the image to filter out the background interference, and then use the proposed arc completeness sorting method to screen out candidate circles with different completeness from the markers, and finally filter through the distance and direction angle constraints. And fit all the marker circles. This paper conducts experiments based on high-resolution marker images. The experimental results show that this algorithm has extremely fast detection speed. When the detection accuracy is basically unchanged, the detection time of this algorithm is only 11% of the EDcircle algorithm and 5. 0% of the AAMED algorithm. It provides an efficient solution for tasks such as visual positioning and calibration that require rapid positioning of markers.

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