图像

The algorithm automatically adjusts every image's inserting point by mapping multi-images onto a suitable sphere, to make accumulative average gray values of difference images on overlapped position be minimal, and then conversely maps the spherical image to plan image to finally get the stitched images.

该算法通过把多幅图像映射到一个合适的球面上，自动调整每幅图像的插入点，使得重合位置的差值图像灰度累积平均值最小，然后球面的图像反映射成平面形式，最终得到拼合图像。

The reflection of image is shown through the individual creation of these young artists who insisted on independent creation. Their works are not constrained by any commercial success model. They even take image as the subject of their creation research and discuss image ontologically instead of anxiously create consumption image with their own marks.

图像的映射表现在这些保持独立创作态度的青年艺术家的独特创造，他们的图像不被任何商业成功模式所限制，甚至将图像作为创作研究的课题，从本体论上讨论图像，而不是焦虑的创造带有自己独特符号的消费图像。

The measured object can be found within a few milliseconds in the raster-scan image. 4 . Two lines delay for the processed image is implemented using two 128×8 shift registers with the configurable logic block in FPGA. A new fully pipelined bit parallel hardware architecture for Sobel edge detection is implemented with FPGA. Furthermore, it takes no more than 2ms to complete the edge detection of an image with 128×128 pixels.

视觉检测信号的前端处理技术 1、系统地分析了视觉检测算法层次性特点和计算特点，提出了提高视觉检测信号处理速度的基本方案：采用前端处理系统，自动识别被测物体在获取图像中的位置，并将真正有用的被测物体的边缘坐标值，提供给计算机，作进一步的高精度处理； 2、系统研究了实时图像硬件处理的设计基本方法，提出了基于FPGA的视觉检测信号的低级处理算法硬件实现模块化模型； 3、提出了一种新的基于FPGA的模板匹配并行模块化结构，解决了二维图像处理高带宽要求，在几毫秒内就可以在按扫描顺序输入图像中找到检测目标物体的位置； 4、采用FPGA内部的可配置逻辑块实现了128×8移位寄存器的设计，解决了大容量移位寄存器与FPGA内部寄存器数量之间的矛盾，实现了两行图像的延迟。

First, structure tensor is calculated to gain vector field for characterizing local structure of image. And then, total variation partial difference equation is imposed for smoothing vector field. Based on this we use line integral convolution for guide the stroke to generate virtual special effect image with fluctuant sense. Last, mergering with original real image, cylindrical panorama with virtualized relationship controlled by time can be generated, which accomplished the character of surpass the time and space in virtual reality system.

该方法通过计算结构张量获得图像曲线走向矢量场，以此刻画图像局部结构；并采用全变分偏微分方程对曲线走向矢量场自适应滤波平滑处理；在此基础上利用线积分卷积指导画笔走向模拟生成线条波动感虚化效果图像；最后结合原始真实图像和虚化效果图像，实现了一种基于时间变量的柱面场景虚化关联算法，并为虚拟现实系统超越现实时空的需要提供了一种新思路。

Have introduced the picture treatment technology picture recovering , picture strengthening and pattern recognition method , combine with Matlab neural network technology , realize whom picture follow networked and intelligent.

引入了图像处理技术的图像复原、图像增强和图像识别方法，并与Matlab神经网络技术结合，实现图像跟踪的网络化和智能化。

This model adapts the prior information of piecewise continuity of image to construct a nonlinear diffusion model,which is used to smooth an enlarged image by nearest interpolation to reduce the blocky effect caused by enlargement,simultaneity,and interpolation condition is added into the iterated process to avoid a too smooth image.

新模型利用图像为分片连续的二维曲面的先验信息，采用非线性扩散方程对基于最近邻方法放大后的图像进行光滑以消除因放大引起的"块状"效应，同时在迭代过程中加入插值条件使处理后的图像能较好的保留边缘，由此构造出基于偏微分方程的图像分辨率增强模型和相应的迭代算法，使图像的分辨率增强到亚像元级。

The essence idea of restoration based on Total Variation is that translate the problem into minimum of energy functional with TV regularization, then the Partial Differential Equations are got from the principle of variation, finally after discretization the optimal resolution with the numerical methods is obtained.

基于整体变分的图像恢复概括的说就是把图像恢复问题形式化为带有整体变分正则化项的图像能量泛函极值问题，采用变分原理将其中的最小化问题转为所要求解的偏微分方程，即Euler-Lagrange方程，利用数字图像本身的离散特征使用适当的数值方法来求它的最优解，最后达到逼近原始图像的目的。

The system can obtain the real-time image of the monitored scene. By image detection of the moving object, the wireless image transmission device can give off alarm signals when moving objects enter the scene. Then alarm signals and real-time image are transmitted through wireless receival station into the monitoring room for inspection.

该系统可以获取被监控现场的实时图像，对图像中运动物体检测，当有运动物体进入监视现场时，无线图像发射装置给出报警信号，并将报警信号以及实时的图像画面通过无线图像发射装置发射出去，通过无线接收基站传入监控机房，监控人员可以在监视器上观察报警现场的情况。

Then use Image ? Image Size to resample the image down to the desired size and resolution, as explained in the "Resampling and Cropping" section near the end of this chapter.

然后点击图像-图像大小来将图像重定图像像素为所要求的尺寸和分辨率，将在此章结尾"重定图像像素和裁切"一节中加以说明。

First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. Then every images in database can be projected into the feature matrix and gain a projection vector, so does the input image. Then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors.

我们首先根据采集的样本图像构造一个协方差矩阵，然后求取该矩阵的特征值，以这些矩阵特征值对应的特征向量构造出一个特征空间，然后将输入图像向该特征空间映射，将获取的映射系数与样本库中图像的映射系数进行距离计算，根据计算出的距离判定输入图像与样本图像间的匹配程度。

Neither the killing of Mr Zarqawi nor any breakthrough on the political front will stop the insurgency and the fratricidal murders in their tracks.

在对危险的南部地区访问时，他斥责什叶派民兵领导人对中央集权的挑衅行为。

In fact,I've got him on the satellite mobile right now.

实际上 我们已接通卫星可视电话了