The quality of the subtraction image was improved and computation time was reduced by selecting edge pixels as triangular control points.
通过计算图像梯度信息，选取边缘区域像素作为控制点，既改善减影图像质量，又提高运算速度。
Our results show significant improvement in calculation speed using the cross template while the quality of the resulting subtraction image remains high.
实验结果表明，改变模板形状后，图像配准速度显著加快，且减影图像质量保持良好。
Conclusion Digital subtraction MRI is an effective and simple post-processing technique, which is also time-saving and reliable with high image quality.
结论MR数字减影技术是一种简便易行而有效的图像后处理方法，而且省时、可靠和成像质量高。
The experimental results show that using the proposed measure can produce better registration results in Digital Subtraction Angiography (DSA) image registration.
由于设计的复数小波对平移是不敏感的，我们提出的相似性测度对图像的局部形变具有较好的鲁棒性。
The paper introduces several methods for vision-surveillance using background subtraction, frame-difference method, symmetrical differencing and a method based on RGB image.
介绍了在视觉监控领域经常用到的几种运动人体检测算法，如背景减除法、帧差法、对称差分法、基于RGB图像的运动检测法。
In order to improve the accuracy of the measurement of superposition hole, an approximate solution based on image subtraction technique to identify the superposition holes was put forward.
为了提高纸靶重孔的测量准确性，提出一种基于图像减影技术的重孔识别方法。
The basic principle and some useful methods of real-time image subtraction are described in this paper.
本文论述一种实时图像相减的原理和方法。
Purpose: To compare the value between bone image of dual energy subtraction (DE) with direct digital radiography and bone scintigraphy in diagnosing rib lesion.
目的：比较能量减影（DE）骨组织像与核素骨显像对肿瘤患者肋骨病变的诊断价值。
In digital subtraction angiography, registration techniques were frequently used to reduce motion artifact in subtracted image because of patient motion.
在数字减影血管造影中，常要用配准技术来消除因病人运动而形成的减影图像中的运动伪影。
In order to overcome the lack of sensitivity of light change, combining the adaptive background subtraction with the symmetrical differencing obtains the integrity foreground image.
为了克服了减背景法对光照变化敏感的不足，再结合帧差法对运动目标进行检测。
With a phase grating located at Fourier frequency plane, optical image subtraction is obtained as a result of the coherent superposition of the zeroth and the first order of the diffracted light.
置一位相光栅于相干光学处理系统频谱平面，利用其零级与一级衍射光的相干迭加实现图象相减。
This article proposes a pretreatment algorithm based on image registration and digital subtraction.
论文提出了一种利用图像配准和数字差影的快速预处理算法。
Objective To study a robust, accurate and effective processing method for digital subtraction angiography (DSA) image registration.
目的研究一种实用性强、精度高、鲁棒性好的数字减影图像配准方法。
Firstly, the human region is extracted from the image by the background subtraction, then model-based and none model-based method are applied to track human motion from body parts to whole body.
首先经过背景去除，把感兴趣的人体目标从图像中提取出来，然后采用基于模型的和非基于模型的两种方法对人体的局部和全身运动进行了跟踪。
A new cross template was applied to the problem of image registration in digital subtraction angiography.
提出一种基于十字模板的数字减影图像配准快速算法。
This algorithm is a gray image processing, including background subtraction, binary, shadow detection, post-processing, and several other modules.
此算法是对灰度图像的处理，主要包括背景减 除、二值化、阴影检测、后处理等几个模块。-。
This new algorithm USES the background subtraction method to get the foreground image, and then gets the binary image using threshold value and makes the morphology processing.
该算法利用背景差法获得前景图像，然后进行二值化和形态学处理，再和背景帧进行比较来对滞留和搬移物体进行检测和分类。
On the basis of two kinds of image models in color space, shadows of objects have been detected by background subtraction approach.
在应用两种彩色空间模型的基础上，用背景差分法对阴影进行了检测。
In view of the faults of traditional method, a new background subtraction method for video image sequence is proposed.
针对传统背景提取算法的不足，提出一种新的视频序列背景提取方法。
This paper introduces a digital subtraction into image segmentation in order to make the algorithm simpler, more automatic, high-speed, and accurate.
为了使分割算法更加自动、快速、精准，本文把减影技术应用到图像分割中来。
The key of background subtraction is to extract and update the background image adaptively in changeable road environment affected by all kinds of factors such as weather and illumination condition.
由于实际交通道路状况受气候、光照等多种因素的影响，变化非常复杂，因此如何设计一种自适应的背景提取与更新算法以适应实际环境的变化，是背景差法的关键所在。
The algorithm can quickly and precisely mark the moving object and its trail by functions of image enhancement, morphological operation, and interframe background subtraction.
该算法运用图像增强、形态学操作、图像差分法，能快速准确标注出移动的物体及其移动轨迹。
Project frames with motion parameters, and the intersection of two subtraction results of neighbor frames will give the moving object area. Last we can calculate the panorama image.
利用运动参数进行投影，然后用多帧相减并求交集，估计出每帧图像中运动物体存在的区域，最后计算得到了全景图。
Two methods of initial estimates are proposed: (1) using real time image subtraction scheme and a micro motion compensation mechanism to take zero constantly as initial estimates;
对相关迭代算法中的初值估计问题进行了研究，提出两种初值估计方法：（1 ）利用“实时相减”和“精密调节”相结合的方法而获得零初值；
Two methods of initial estimates are proposed: (1) using real time image subtraction scheme and a micro motion compensation mechanism to take zero constantly as initial estimates;
对相关迭代算法中的初值估计问题进行了研究，提出两种初值估计方法：（1 ）利用“实时相减”和“精密调节”相结合的方法而获得零初值；
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