一种多目标光斑自适应快速检测算法
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摘要
在激光光斑探测系统中,需要对多个目标光斑信息进行提取,针对这种情况,提出了一种多目标光斑自适应快速检测算法。该算法首先对整个多目标光斑图像与背景图像进行差分处理、中值滤波、边缘检测等预处理,使用迭代法实时获取不同的阈值对光斑图像进行二值化处理,利用图像的对称特点快速精准的提取光斑区域像素面积、质心位置坐标、直径等参数。最后通过实验验证该算法可以在不同背景光干扰的情况下自适应的选取阈值,且能有效、稳定的对光斑区域进行分割,实现多目标光斑的快速检测。
In the laser spot detection system,it is necessary to extract the information of multiple target spots. For this situation,a multi-target spot adaptive fast detection algorithm is proposed. The algorithm firstly pre-performs the whole multi-target spot image and background image,such as differential processing,median filtering and edge detection. It uses the iterative method to obtain different thresholds in real time to binarize the spot image,and uses the symmetrical feature of the image to quickly and accurately extract the pixel areas,centroid position coordinates,diameter and other parameters. Finally,the experimental results show that the algorithm can adaptively select thresholds under the condition of different background light interference,and can effectively and stably segment the spot area to achieve rapid detection of multi-target spots.
In the laser spot detection system,it is necessary to extract the information of multiple target spots. For this situation,a multi-target spot adaptive fast detection algorithm is proposed. The algorithm firstly pre-performs the whole multi-target spot image and background image,such as differential processing,median filtering and edge detection. It uses the iterative method to obtain different thresholds in real time to binarize the spot image,and uses the symmetrical feature of the image to quickly and accurately extract the pixel areas,centroid position coordinates,diameter and other parameters. Finally,the experimental results show that the algorithm can adaptively select thresholds under the condition of different background light interference,and can effectively and stably segment the spot area to achieve rapid detection of multi-target spots.
引文
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[2]黄德权,周文超,邱红等.哈特曼测量大气相干长度研究[J].强激光与粒子束,2014,26(8):11-16.
[3]卫沛锋,林旭东,王亮等.大气相干长度的瞬时测量[J].光学精密工程,2016,24(8):1840-1845.
[4]马时亮,马群,史国清.基于MATLAB的激光光斑图像处理算法[J].工具技术,2011,45(8):88-90.
[5]沈跃,夏伟,刘慧等,激光传感器在喷雾靶标检测中的研究应用[J].农业现代化研究,2017,38(2):335-342.
[6]蒋珍今,裴承鸣,杨亮.基于摄像头测距的数字图像处理方法研究[J].弹箭与制导学报,2009,29(6):259-262.
[7]许平,张英远,刘劲松.基于图像处理的激光远场光斑仿真方法[J].红外与激光工程,2004,33(4):423-426.
[8]范永金,李阔,周炳玉.激光光斑探测系统软件设计与分析[J].光电技术应用,2008,23(2):28-32.
[9]靖旭,侯再红,秦来安等.白天观测恒星测量整层大气相干长度[J].红外与激光工程,2011,40(7):1352-1355.
[10] LOU Y,WEN G Y,CHEN Ch Y.et al.Experimental measurement of atmospheric coherence length of laser propagation in the atmospheric turbulence[C]International Conference on Optoelectronics and Microelectronics.
[11]阮梁,马卫红.外场激光光斑中心检测算法研究[J].光学仪器. 2010,32(2),5-8.
[12]周俐娜,吴戈.利用CCD图像分析法测定激光横向光场分布[J].物理实验,2013,33(10):36-40.
[13]马艳娥,陈思,陈娟等.基于多幅图像平均法对数字图像降噪的研究[J].电子测试,2011(6):1-3.
[14]侯建华,熊承义,田晓梅.广义高斯分布及其在图像去噪中的应用[J].中南民族大学学报,2005,24(3):44-47.
[15]于龙昆,吴毅,侯再红等.南海海边整层大气相干长度的测量与分析[J].红外与激光工程,2012,41(11):3046-3049.