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1)  Circle integral projecting
圆周积分投影
2)  Circular grads integral projecting
圆周梯度积分投影
3)  circular projection
圆周投影
1.
A new method of locating a center-point of the circular projection was proposed based on the vector sum and image template convolving a mask over the gray-scale image directly and using the frequency domain computation is to reduce the time complexity.
该方法是基于灰度图像上进行圆心定位和圆周投影,不仅可以尽量多地保持原始字符图像的特征信息,而且克服了传统的基于二值化图像进行圆心定位时,过分依赖于二值化算法、抗干扰性差等弊病。
2.
The circular projection algorithm was used to transform a character image with two independent variables into a function of one independent variable in the circular projection space.
利用圆周投影算法,把二维的字符图像转换为一维投影。
3.
First-ly,the gray-scale character image is transformed into a function of one independent variable in the circular projection space.
提出了基于灰度图像的标牌压印字符特征抽取新方法,首先对灰度字符进行圆周投影,然后利用小波变换,将投影曲线分解为大致信号和细节信号的子样本,最后对子样本进行DCT变换,生成凹凸字符的特征矢量。
4)  projection perimeter
投影圆周
5)  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。
6)  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
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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