再配准

Volumetric reconstruction has been done with single mode images, then multi-mode images volumetric fusion depend on registration with coronal and arrowy mark of image pipeline in volumetric reconstruction.

图像融合时，先进行单模式的图像容积重建，再依据冠状和矢状显影标志管线进行配准容积融合。

It is a technology that carries on the spatial matching to a series of image which are overlapped partly with each other, and finally generates a seamless and big eyespot image by merging these images.

它首先对一组相互之间存在部分重叠的图像进行配准，然后再融合成为一幅包含整组图像信息的大视场图像。

Vidicon collect simulate image in period of time and send to computer or DSP chip through video collection card digitlization,use computer to gain eyewinker and process digital image processing:using image area segment and boder measure to calculate area and perimeter;using image smoothness to wipp offthe infection of yawp;using dynamic background and image suited technology to overcome the infection of ray;calculation the parameter of eyewinker(area, perimeter,round measurement, proportion characer and invariant monent),using least norm to design the linearity classify parts,using image matching technologyto classify eyewinker,and to judge whether the eyewinker is harmful to diff background,if the eyewinker satisfy the character require of harmful object ,system will auto-stsrt alarm device. If there ia not have found any eyewinker, Vidicon will collect new simulate image and make processing.

本设计是将摄像机或高频头采集到的模拟图像经过视频采集卡数字化后送入计算机或DSP芯片，利用计算机对采集到的一定时间段内的图像进行异物获取，并对异物图像进行数字图像处理：利用图像区域分割和边缘检测以便进行面积和周长的计算，利用图像平滑去除噪声的影响，利用动态背景运动检测法和图像配准技术克服光线的影响，并通过异物的各类参数（如面积、周长、圆形度、比例特征和不变矩等）的计算，采用最小范数分类法设计了线性分类器，利用图像匹配技术对异物进行分类，从而判断异物是否有害，针对于不同的背景，若异物满足有害物体的特征要求，则认为物体有害，自动启动报警装置，如果没有发现有害异物则新摄入的图像将取代前一时间段的图像再进行图像处理。

After image registration, the vehicle area is segmented by using the difference image of background and vehicle.

通过对背景图像和车辆图像进行配准运算，再用背景消减法提取目标车辆。

With respect to the image blending, in order to achieve a seamless mosaic image with both the shape and exposal differences, an improved image mosaic algorithm is proposed based on the morphological method.

该算法先自适应地选取配准区域，再以互信息为相似度评价标准，结合自适应模拟退火和多分辨率搜索策略分别进行图像平移和旋转参数的全局优化和局部搜索，最后实现图像的精确配准。

Methods:50 whole brains were serially horizonatally sliced with each section 2 mm in thickness.The two -dimensional image of each section was corrected and aligned at first.After corre spondence by experts identifying thalami,tiling based on contour matching and surface-fitting with NURBS interpolation,thalami were reconstructed on computer.

对50只整脑100个丘脑作2 mm厚的连续水平切面，运用表面重建法对丘脑进行计算机三维重建；首先对各切面二维图像进行配准与校正，再采用专家辩认核团、基于轮廓匹配的轮廓拼接、非线性有理B样条插值等方法手段，精确地重建了丘脑。

It evaluates the process of feature point matc hing by extracting feature point by the Harris corner detector, forming a correlation matrix in terms of the monogenic s ignal elements｛p,q 1,q 2｝,then to the stage of RANSAC inliers selection so as to eliminate the false feature point pairs and to calculate the fundamental matrix of epipolar geometry.

其核心 思想是用Harris角点检测算法提取特征点，然后以单演信号元素｛p，q 1，q 2｝构成相关矩阵，提取出初始特征匹配点对，再用随机抽样一致性算法去除伪匹配的特征点对，选择内点集估计对极几何的基本矩阵，实现图像的配准。

Taking the topographic map (1:50,000) in 1980 as the common base, the series of Landsat TM/ETM+ images that we used in the research are reprojected to the same coordinate system. Then all data sets were orthorectifed based on the 1:50,000 scale DEM, and were accurately co-registered to the topographic map with an accuracy of 1.0 pixel.

以地形图为基准，将陆地资源卫星系列遥感影像(Landsat TM/ETM+)统一坐标系，并基于1：250，000 DEM逐像元进行正射校正，再配准，配准误差控制在一个像元以内。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。