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1)  projection at different time
分时投影
1.
In order to calibrate the system error and recognize the orbit precision difference in three axes,the new method uses observation data from several stations in one pass arc,and makes orbit error projection at different time.
新方法在卫星一次过境的短弧段内,利用多个激光测站的分时观测数据,采用多站分时投影思想,重构系统误差,辨识三个方向的定轨精度差异。
2)  time resolved tomography
时间分辨投影术
3)  temporal projection
时域投影
1.
Though the temporal projection,the maximal number of the signals this method can deal with is much more than present algorithms with a small cost.
该算法通过时域投影对信号进行预处理,先从时域上对信号进行粗分,从而以较小的代价换取大信号数情况下算法性能的改善。
4)  projecting integral
投影积分
1.
The image of the measuring mark of plate captured by CCD,recognized and analyzed the registered mark by the statistic character of hue in HSI space,and segmented the color image by the 2 paramaters of hue and intensity,measuring data about the registering quality can be obtained by hue projecting integral method after color image segmentation.
应用CCD采集印版测量标识的图像,在HSI色彩空间中,通过色调统计特征进行套准识别,并通过色调和亮度对彩色图像进行阈值分割,对分割后的图像采用色调投影积分方法快速获取测量标识的坐标参数,实现彩色套印误差的检测。
5)  integral projection
积分投影
1.
Eye location algorithm based on differential and integral projection;
一种微分与积分投影相结合的眼睛定位方法
2.
Design and implementation for integral projection Vector Quantizer.;
一种基于积分投影的矢量量化器的设计与实现
3.
Fast eye and mouth location algorithm based on integral projection and color matching
一种基于积分投影与色度匹配相结合的快速人眼嘴定位算法
6)  Integration projection
积分投影
1.
According to the characteristics of vehicle windows,we employed Hough transform and Integration projection to cut the window regions.
针对图像中车窗边缘的图像特点,提出了一种基于相位编组法进行图像分块,在图像块内进行快速Hough变换的直线检测,并结合积分投影方法对车窗进行定位与提取。
2.
A possible position and the size of a face were predicted through integration projection.
该算法利用积分投影法预测人脸可能的范围和位置,并结合椭圆的紧密度概念调整滤波器参数,构造最优滤波器,把肤色分割后的连通区域中非人脸的类肤色区域过滤掉,有效地减少类肤色区域带来的干扰,再结合模板匹配方法对人脸进行定位。
补充资料:滤波反投影或卷积反投影


滤波反投影或卷积反投影


影像学术语。当代影像学设备进行影像重建的数学方法。在直接用扫描后所获得的投影轨迹剖面图反投影重建出的CT图像中,无法避免角度卷入条纹伪影(angular aliasing streaks)造成的模糊和失真。这种现象与被扫描层面的空间频率中高频信息的损失有关。使用一种精密的数学方法去除这种模糊。称为“展现”(unfolding)或去卷积(deconvolution),即在反投影前使用一种数学的“滤器”或卷积函数对原始数据进行修正,然后再进行反投影。两步数学处理过程合称为滤波(修正后)反投影或卷积(后)反投影。这种方法的优点是处理过程简单,速度快,所得图像逼真、清晰。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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