| 1. | 3 sequential images matching and splicing technology is studied
3研究了长序列动态图像匹配与拼接技术。 |
| 2. | Background estimation technique based on sequential image time stability
基于序列图像时间稳定性特征的背景估计技术 |
| 3. | In this paper , we also present an object detection algorithm for sequential images
本文提出了一个序列图像中运动目标的检测算法。 |
| 4. | This system is composed of three modules , which are sequential image acquisition , data transport and image processing
系统包括三大模块：视频图，像采集部分、图像数据传输部分和图像后处理部分。 |
| 5. | Because the object is far from the camera , and also the outdoor environment has much interference , the background of gathered sequential images is often offset
由于要监视的目标区域离摄像头比较远，并且野外环境的干扰比较大，采集的序列图像有一定的抖动和位移。 |
| 6. | The research interest of moving object detection is image sequence . first , this paper introduces the vision principle of moving object detection and the common methods on sequential images analyzing
运动目标检测的研究对象是视频序列图像，本文首先介绍了运动物体的视觉检测原理以及序列图像分析的一般方法。 |
| 7. | In chapter five , gained proper matching template taking advantage of edge image and mapped two sequential images basing on image transform and template matching and found moving objects
第五章利用前一章运算得到的边缘图像，选取出适当的匹配模板，综合利用中文荷要坐标空间变换和模板匹配法配准图像，检测出运动目标。 |
| 8. | This paper starts with the running principle and procedure of x - ray sequential image acquisition processing system . the emphasis of this paper is put on key problems of pci device driver based on windows os
本文从x射线医学成像的背景、原理和现状入手，详细描述了x射线医学视频图像采集与处理系统工作原理和工作过程。 |
| 9. | Therefore , we propose a correspondence approach for feature points in sequential images . in the process of dealing with image sequences , we will revise the match if the offset of image background is big
因此本文研究了序列图像之间特征点的对应方法，在对图像序列的处理过程中，若图像的背景漂移较大，则应进行校正配准。 |
| 10. | To recover scene structure from motion , firstly the relation between sequential images must be set up through three steps as feature point extraction , corresponding matching and estimation of fundamental matrices
要恢复场景三维形状，首先必须建立序列图像之间的联系。其中包括特征点的提取，特征点的匹配以及基本矩阵的估计。 |
