摘要
传统的基于光栅的激光图像光斑质心位置高精度识别模型、基于图像处理技术的激光图像光斑质心位置高精度识别模型与基于序列图像的激光图像光斑质心位置高精度识别模型存在识别精度差的问题,为此设计一种激光图像光斑质心位置高精度识别模型。利用统计特性方法估计噪声,对激光图像光斑位置二值化处理,采用参数化可变形的模板作为太阳光斑的匹配模板,确定激光图像光斑有效区域,引入光学成像原理,确定亚像素光斑的中心位置,完成激光图像光斑质心位置高精度识别。实验对比结果表明,此次设计的激光图像光斑质心位置高精度识别模型比传统的三种模型识别精度高,具备实际应用意义。
The traditional grating-based high-precision recognition model for the spot centre position of the laser image spot,the laser processing spot high-precision recognition model for the centre position of the laser image spot based on the image processing technology,and the sequence image-based high precision recognition model for the centre of the spot image centre of the laser spot To solve this problem,a high-precision recognition model for the centre of mass position of the laser image spot is designed. Use statistical characteristics to estimate noise,binarise the spot position of the laser image,use a parametric deformable template as a matching template for the sunspot,determine the effective area of the laser image spot,introduce the principle of optical imaging,and determine the centre position of the subpixel spot To complete the high-precision identification of the position of the centroid of the laser image spot. The experimental comparison results show that the high precision recognition model of the laser image spot centre of mass position design is more accurate than the traditional three models,and it has practical application significance.
作者
尚卓
SHANG Zhuo(School of Physics and Information Engineering Jiarghan University,Wuhan 430056,China)
出处
《激光杂志》
CAS
北大核心
2021年第5期125-128,共4页
Laser Journal
基金
国家自然科学基金青年基金项目(No.61405076)。
关键词
激光图像
光斑
质心
识别
像素
laser image
light spot
centroid
recognition
pixel
