摘要
边缘检测是图像处理和计算机视觉中的基本问题,目的是标识数字图像中亮度变化明显的点。激光测距是测距领域精度最高的重要技术手段之一,测距数据能够应用于科学研究之前,需要对原始数据进行一系列的预处理。根据目标信号和噪声信号在图像上的分布特点,提出了一种基于边缘检测提取目标信号的方法,将原始数据转化成测距残差图像,对其进行边缘检测后识别信号位置。实测数据处理结果表明,本文提出的算法具有一定的可行性和通用性。
Edge detection is a basic problem in image processing and computer vision.Its purpose is to identify points with obvious brightness changes in digital images.Laser ranging is an important technical method with the highest accuracy in the field of ranging.Before laser ranging data can be used in scientific research,a series of preprocessing of the original data is required.According to the distribution characteristics of the target signal and noise signal on the image,this paper proposes a method to extract the target signal based on edge detection,which converts the original data into the residual image of distance measurement,and then recognizes the signal position after edge detection.It has been used to process the measured data that the algorithm proposed in this paper has a certain feasibility and versatility.
作者
冯凯斌
汤儒峰
李荣旺
李语强
Feng Kaibin;Tang Rufeng;Li Rongwang;Li Yuqiang(Yunnan Observatories,Chinese Academy of Sciences,Kunming 650216,China;University of Chinese Academy of Sciences,Beijing 100049,China;Key Laboratory of Space Object&Debris Observation,Chinese Academy of Sciences,Nanjing 210034,China)
出处
《天文研究与技术》
CSCD
2021年第4期482-488,共7页
Astronomical Research & Technology
基金
国家自然科学基金(11703011,11655001)
中国科学院青年创新促进会(Y201817)资助.
关键词
激光测距
边缘检测
图像处理
数据处理
laser range
edge detection
image processing
data processing