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作 者:李善斌 倪磊[1,2] LI Shan-bin;NI Lei(Key Laboratory of Manufacturing Process Testing Technology of the Ministry of Education,Southwest University of Science and Technology,Mianyang 621000,China;Tianfu Institute of Research and Innovation,Southwest University of Science and Technology,Chengdu 610299,China)
机构地区:[1]西南科技大学制造过程测试技术教育部重点实验室,四川绵阳621000 [2]西南科大四川天府新区创新研究院,四川成都610299
出 处:《激光与红外》2024年第8期1316-1321,共6页Laser & Infrared
基 金:四川省科技计划项目(No.23ZDYF0471)资助。
摘 要:红外光斑中心定位是红外光学测量的关键技术一,针对红外光斑分辨率低、对比度差、目标边缘模糊和光斑定位精度低等问题,提出了一种具有高精度小尺寸的红外光斑定位算法。对于红外图像前处理从单一滤波和组合滤波进行图像的前处理,之后通过红外光斑质心法和形心法确定光斑中心所在的亚像素级坐标。结果表明:在有噪声污染的红外光斑图像中,与其他算法相比,本算法误差小于0.035个像素,保证了红外光板的高精度定位。Infrared spot center location is the key technology of infrared optical measurement.Aiming at the problems of low infrared spot resolution,poor contrast,blurred target edge and low accuracy of spot location,an infrared spot location algorithm with high precision and small size is proposed in this paper.For infrared image pre-processing,the image is pre-processed by single filter and combined filter,after which the sub-pixel level coordinates where the spot center is located are determined by the IR spot center-of-mass and form-center methods.The results show that the error of this algorithm is less than 0.035 pixels compared with other algorithms in the infrared spot image with noise pollution,which ensures the high-precision positioning of the infrared light plate.
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