基于改进高斯拟合的红外相机视角下标识点中心定位方法
A method for locating the center of identification points from the perspective of infrared cameras based on improved gaussian fitting
鲍勃屹 1张辉 1朱成顺 1郑天宇 1张震1
作者信息
- 1. 江苏科技大学机械工程学院,江苏镇江 212003
- 折叠
摘要
针对红外相机视角下标识点中心提取问题,在分析其图像特征的基础上,提出一种粗细结合的分割及高斯拟合的方法以实现对标识点中心的定位.首先根据图像中标识点的灰度差异,对其进行ROI粗定位,去除背景反光对其分割的影响.随后对目标图像采用K均值聚类算法,实现目标分割.最后,通过剔除中心冗余信息的改进高斯拟合提取方法,得到标识点光斑中心坐标.实验结果表明,相较于灰度质心法、Hough变换法和圆拟合法,本方法对其中心提取稳定性误差均小于0.1像素,具有高重复性和稳定性精度.即使目标产生不同程度遮挡时仍具有较高精度,适合于红外相机视角下定位系统的标识点中心提取.
Abstract
This paper proposes a method combining segmentation and Gaussian fitting based on the analysis of im-age features to extract the center of marker under the perspective of infrared camera.Firstly,the ROI rough positioning of the marker is carried out based on the gray difference of the marker in the image,and the influence of background reflection on the segmentation is eliminated.Then,the K-means clustering algorithm is used to segment the target im-age.Finally,the improved Gaussian fitting extraction method is used to obtain the center coordinate of the marker spot by removing the central redundant information.The experimental results show that compared with the centroid method,Hough transform method,and circular fitting method,the algorithm in this paper has a stability error of less than 0.1 pixels for center extraction,with high repeatability and stable accuracy.Even with different degrees of occlusion,it still maintains high accuracy,which is suitable for the center extraction of marker in the positioning system under the perspective of infrared camera.
关键词
光斑检测/图像分割/中心提取/光学测量Key words
spot detection/image segmentation/centroid extraction/optical measurement引用本文复制引用
基金项目
江苏省产学研合作项目(BY20221435)
镇江市重点研发计划(GY2019003)
镇江市重点研发计划(GY2020007)
出版年
2024
NETL
NSTL
万方数据