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基于红外光学层析物体被动态遮挡的边缘检测 被引量:1

Edge detection of occluded objects based on infrared optical tomography
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摘要 针对导弹的红外凝视目标跟踪中存在被跟踪物体被动态遮挡的检测问题,采用光学层析的思想,借助傅里叶切片定理,对采集的目标数据进行线性积分后再进行傅里叶变换。光学层析成像中图像重建的实质是通过不同角度的投影信息确定成像平面上每个像素的实际光强分布。由于物体被动态遮挡,总有一个角度的投影可以将其他角度投影被遮挡部分填充,最后做二维傅里叶逆变换,即可得到重建后边缘完整的图像,该图像可以识别到完整的轮廓信息。 Aiming at the problem of dynamic occlusion detection of the tracked object in the infrared staring target tracking of missile,the optical tomography idea and Fourier slice theorem are used to conduct linear integration of the collected target data and then Fourier transform is applied.The essence of image reconstruction in optical tomography is to determine the actual light intensity distribution of each pixel on the imaging plane by projection information from different angles.Due to the dynamic occlusion of the object,there is always the projection of one angle which can fill in the occluded part of the other angle projection.Finally,the image with complete edge can be obtained by performing two-dimensional inverse Fourier transform,which can recognize the complete contour information.
作者 王新飞 王晓巍 WANG Xinfei;WANG Xiaowei(School of Instrument Science and Opto-electronics Engineering,Hefei University of Technology,Hefei 230009,China)
出处 《智能计算机与应用》 2021年第2期105-108,共4页 Intelligent Computer and Applications
关键词 层析成像 计算机辅助断层成像 红外层析成像 tomography computer-aided tomography infrared tomography
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