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微光图象光子计数器象管光子增益测试研究 总被引:1,自引:0,他引:1
本文介绍了微光图象光子计数器象管的主要构成及其与常规二代微光象增强器的区别.在论述单通道光子计数技术原理的基础上,提出了微光图象光子计数器象管的主要参数-光子增益的测试原理和方法,建立了测试系统.对微光图象光子计数器象管的光子增益进行了实测,并将测试结果与常规二代微光象增强器的亮度增益进行了比较,给出了光子增益的估算公式. 相似文献
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本文提出了一种自动分类立体图象的算法,首先,提取左,右两幅图象的区域特征,然后定义矩阵R描述左,右图象的关系,最后匹配其区域特征,同时还对的图象的视差进行了讨论。 相似文献
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视频图象分析处理系统应用研究 总被引:2,自引:0,他引:2
本文描述了一种基于视频图象的分析处理系统,结合工程应用实践,提出利用微机终端显示器作为象框坐标测量器,实现对视频图象的分析处理.不仅具有丰富的数字图象处理功能,还可对原始图象进行增强和细分等处理. 相似文献
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基于线性不变矩的特征图象配准算法研究 总被引:7,自引:7,他引:0
针对图象差异较大的光学图象与合成孔径雷达图象(SAR)的特点,设计了一种基于特征的图象配准的算法,包括特征提取、匹配、控制点选取、变换系数计算和误差计算等步骤.在特征提取中,对于雷达图象需要进行预处理并采用LOG提取图象轮廓.在匹配算法中,以线性不变矩作为特征量,对现有基于图象轮廓特征的匹配算法进行了改进.采用上海浦东地区的Radarsat-1S2模式图象与LandsatTM-5波段图象作为待配准图象.实验结果表明,该方法可以较好地完成光学图象与SAR图象的配准,有着较高的应用价值. 相似文献
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本文首次应用以微通道板象增强器为核心器件的超高灵敏度光电成象系统获得了活体昆明鼠的超微弱生物发光图象,并用统计理论研究了光子图象中的信号和背景分布,提出用斯米尔诺夫检验判别图象中有无信号的方法,以及用X2准则拟合实际图象中的信号区和背景区分布,并根据得到的统计估计值对光子图象进行检验,上述光子图象中的拟合方法以及斯米尔诺夫判据检验到了图象中的信号,验证了实际获得的光子图象中存在发光信号的结论。 相似文献
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人们发现大小适当的平面玻璃板或矩形光纤可以用作图象传导器件。在这种器件内光波可作为一种具有一定形状的光束传播,通过多次全反射传递光图象信息,既不激发任何波导模式也没有自成象效应。还证明了,当把该图象传导器件靠近目标时,可使图象得到放大。本文对这种方法的基本性质进行了分析,并由实验所证实。作为极细小的导象器件,这种方法有潜在用途。 相似文献
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用调Q脉冲YAG:Nd激光的倍频辐射作激励光,对多模玻璃光纤中的背向受激布里渊散射(BSBS)的位相复共轭图象再现进行了初步的实验研究.实验结果表明,BSBS光对入射光的频移是38.6GHz,在BSBS的光束截面上带有与入射光为位相复共轭对应的再现图象.而且散射光与入射光的偏振相同.最后,对再现图象的质量问题进行了讨论. 相似文献
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为了提高高光谱图像空间维的图像分辨力,针对航空遥感器成像时由前向像移造成的图像模糊提出了像移补偿方法。分析了航空遥感器前向像移造成图像模糊的退化机制,对运动模糊图像进行了预处理;估计了点扩散函数和噪声功率,使用改进的维纳滤波算法对图像进行复原并以绝对平均误差、峰值信噪比作为评价标准进行了实验。在估计出模糊图像点扩散函数和噪声功率的情况下得到的结果显示:与传统的维纳滤波复原算法相比,改进的维纳滤波复原算法的图像绝对平均误差降低了9.31%,峰值信噪比提高了13.98%,表明提出的算法能够有效改善高光谱图像的像质。 相似文献
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A simple method using TV techniques for the image restoration of degradation due to uniform linear motion is described. The restored image is displayed on a TV monitor after simple differential operation for the video signal corresponding to the blurred image. No computer calculation is needed. 相似文献
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为了提高像移测量精度,针对机载航空摆扫相机提出一种坐标变换法和图像相关法相结合的像移测量方法。利用坐标变换法得到初始像移速度,利用图像联合变换相关法对像移速度残差进行补偿。联合图像通过一个面阵CCD获得,该面阵CCD放置在相机焦平面上并与成像线阵TDI CCD平行,其输出的当前图像与参考图像合并构成联合图像进行二维空间联合变换相关运算,得到像移修正矢量。对该矢量分别在相机摆扫方向和载机飞行方向进行分解,从而得到摆扫像移和前向像移的修正量。仿真实验结果表明,在输入图像信噪比为4 dB时,像移测量误差在0.1 pixel以内。 相似文献
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Motion blur is caused by camera shakes or object motions during exposure when the shutter speed is relatively slow. As for the object motion blur, the degradation of a CCD image is often characterized by space-variant motion blurs, since objects are often moving in different directions at different speeds. But most image restorations for space-variant motion blurs are addressed only for progressive scan CCD images. To address the space-variant image restorations for interlaced scan images, we propose a novel image restoration scheme. First, one interlaced scan image frame is required, which is divided into the odd field and the even field images. These two field images are further segmented into rectangular blocks. The motion vectors are computed in these rectangular blocks using an efficient block matching algorithm. Second, image restoration is performed in these rectangular blocks using a constrained least square algorithm in the odd or even field image, which can both preserve edge structures and remove noises. Our novel scheme is illustrated by restoring a space-variant blurred moving boat image and a synthetic blurred image. 相似文献
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When the speeds of objects in a scene exceed the temporal resolution of the camera shutter, motion blurs will occur. Since objects are often moving in different directions at different speeds, the degradation of a CCD image is often characterized by space-variant motion blurs. Image restoration algorithms for space-variant motion blurs are available for progressive scan CCD images, but not for interlaced scan images. To address the space-variant image restoration for interlaced scan images, a novel three-step image restoration scheme is proposed. Firstly, one interlaced scan image is divided into odd field and even field images. Secondly, these two field images are further segmented into rectangular blocks and the motion vectors are computed based on these rectangular blocks using an efficient block matching algorithm. Thirdly, image restoration is performed using a blind deconvolution algorithm in the odd or even field image. The final restored image is obtained by combining the restored odd and even field images. The scheme is illustrated by restoring a space-variant blurred moving vehicle image and a synthetic blurred image. 相似文献