阈值迭代的单目视觉系统中像点质心定位

doi:10.13229/j.cnki.jdxbgxb20190411

Abstract

Abstract:

The sub-pixel positioning accuracy of 2D image points in the large-sized single camera vision coordinate measurement system has a great influence on the accuracy of 3D coordinate measurement. To solve this problem this paper analyzes the centroid localization method of the optical feature points on the image plane. Based on the principle of pinhole imaging, the camera model is established. The extraction method of 2D image points corresponding to optical feature points is discussed, and the sub-pixel positioning of 2D image points is studied in depth. A centroid localization algorithm based on threshold iteration is proposed. This algorithm increases the number of effective pixels around the imaging center of the optical feature points by interpolation algorithm. It reduces the noise error by gray-scale square weighting. By setting the threshold value and several iterations, the error caused by asymmetry of the characteristic spot can be reduced, so as to realize the accurate positioning of the feature points. Through comparative experiments, it is proved that the positioning algorithm proposed in this paper can realize 1/100 pixel subdivision of the image point or more. The positioning standard deviation of the proposed algorithm in the direction of x and y is 0.0022 pix and 0.0019 pix respectively. Compared with gray square weighted centroid positioning method and double cubic interpolation gray square weighted centroid positioning method, the positioning standard deviation of the proposed algorithm is smaller, and the proposed algorithm has higher positioning accuracy. The positioning errors of x and y directions are within the range of 0.0039 pix and 0.0046 pix respectively, which are smaller than the previous two methods, and the proposed algorithm has better positioning stability. The localization method proposed in this paper can be applied to the sub-pixel localization of various near-circular small light source images.

Key words: technologyof instrument and meter, visual measurement, centroid localization, gray value, interpolation algorithm, threshold

CLC Number:

TH741

Jing ZHOU,Xiao-bao ZHANG,Yun-long BAI,Li-xin HOU. Centroid location of image points in single camera vision measurement system with threshold iteration[J].Journal of Jilin University(Engineering and Technology Edition), 2020, 50(5): 1796-1801.

Figures/Tables 7

Fig.1

Fig.2

Fig.3

Fig.4

Table 1

Table 2

Comparison results of standard deviation"

项目	灰度平方加权算法	双三次插值灰度平方加权算法	本文算法
质心坐标 $x ˉ$	245.27	245.32	245.26
质心坐标 $y ˉ$	313.78	313.37	313.67
$x$ 方向标准差	0.0039	0.0023	0.0022
$y$ 方向标准差	0.0033	0.0024	0.0019

Table 2

Fig.5

References 12

1	王向军, 曹雨, 周凯. 二维合作目标的单相机空间位姿测量方法[J]. 光学精密工程, 2017, 25(1): 274-280.
	Wang Xiang-jun, Cao Yu, Zhou Kai. Methods of monocular pose measurement based on planar objects[J]. Optics and Precision Engineering, 2017, 25(1): 274-280.
2	周婧, 高印寒, 陈小林, 等. 基于单摄像机视觉测量系统的网络化数据融合[J]. 吉林大学学报: 工学版, 2013, 43(1): 92-97.
	Zhou Jing, Gao Yin-han, Chen Xiao-lin, et al. Networked data fusion based on visual measure system with single camera[J]. Journal of Jilin University(Engineering and Technology Edition), 2013, 43(1): 92-97.
3	王凤艳, 黄润秋, 陈剑平, 等. 基于计算机视觉和测量平差理论的相机标定[J]. 吉林大学学报: 工学版, 2017, 47(3): 944-951.
	Wang Feng-yan， Huang Run-qiu， Chen Jian-ping, et al. Camera calibration based on computer vision and surveying adjustment fundamentals[J]. Journal of Jilin University(Engineering and Technology Edition), 2017, 47(3): 944-951.
4	周婧, 高印寒, 刘长英, 等. 基于自适应算法的单目视觉系统的姿态解算[J]. 光学精密工程, 2012, 20(12): 2796-2803.
	Zhou Jing, Gao Yin-han, Liu Chang-ying, et al. Attitude calculation of single camera visual system based on adaptive algorithm[J]. Optical and Precision Engineering， 2012, 20(12): 2796-2803.
5	刘长英, 高乐, 高印寒, 等. 单目视觉坐标测量方法[J]. 吉林大学学报:工学版, 2010, 40(5): 1278-1282.
	Liu Chang-ying, Gao Le, Gao Yin-han, et al. Measurement of coordinates by single camera vision[J]. Journal of Jilin University(Engineering and Technology Edition), 2010, 40(5): 1278-1282.
6	Wang Y Z, Geng B L, Long C. Contour extraction of a laser stripe located on a microscope image from a stereo light microscope[J]. Microscopy Research and Technique, 2019, 82(3): 260-271.
7	Bisht V, Salgado R. Local transmitting boundaries for the generalized interpolation material point method[J].International Journal for Numerical Methods in Engineering, 2018, 114(11): 1228-1244.
8	Luxen M. Variance component estimation in performance characteristics applied to feature extraction procedures[J]. Lecture Notes in Computer Science, 2003, 2781: 498-506.
9	Redert A, Hendriks E, Biemond J. Accurate and robust marker localization algorithm for camera calibration[C]∥IEEE Proceedings of the 1st International Symposium on 3D Data Proceeding Visualization and Transmission, Italy, 2002: 522-525.
10	Wang Q, Liu Y F, Chen Y Q. Precise locating approach of the beacon based on gray gradient segmentation interpolation in satellite optical communications[J]. Applied Optics, 2017, 56(7): 1826-1832.
11	Yu Z J, Chen G, Che R S, et al. Bilinear interpolation centroid algorithm using for circular optical target location[J]. Proceedings of Second International Conference on Image and Graphics, 2002, 4875: 333-339.
12	Idais H, Yasin M, Pasadas M, et al. Optimal knots allocation in the cubic and bicubic spline Interpolation problems[J]. Mathematics and Computers in Simulation, 2018, 164: 131-145.

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