图像模型

To represent the shape content of an image, the edge orientation autocorrelogram is used. To represent color features, local color cumulative histogram is computed, and to solve the problem of lacking the spatial knowledge of the histograms, we also extract the color moments of the partitions.

用边缘方向自相关图表示图像的形状内容；对于颜色特征，计算图像颜色的局部累加直方图，同时为了弥补其不包含颜色空间分布关系的缺点，又提取了分块的颜色矩，并利用高斯模型对各特征距离进行归一化，综合上述三个归一化距离，进行全局相似度量。

To improve the performance of image-denoising methods, a locally adaptive denoising algorithm was presented. The new algorithm assumed the statistical dependence among wavelet coefficients. First, a bivariate probability distribution model was introduced to model the statistics of wavelet coefficients, and corresponding nonlinear threshold function was derived from the model using the Bayesian estimation theory.

由于图像小波系数存在很大的层间相关性，引入双变量概率分布模型，基于贝叶斯估计理论，得到了相应的非线性阈值函数；基于层内局域方差估计，利用该收缩函数得到一种局域自适应的图像去噪算法。

Keywords Biomedical imaging;The class of Special functions of Bounded Variation;Level set methods;Mumford–Shah functional;Minimal partition problem;Diagnostics of glaucoma diseases;Segmentation and measurement

生物医学图像处理；特殊有界变差函数空间理论；水平集方法； Mumford-Shah泛函模型；最小分割问题；青光眼诊断；视乳头图像分割与度量；卫星雷达干涉图相位解缠

And the function of the CAID system developed by ourselves is realized with this algorithm.

在各种CAID软件系统中，通过纹理映射的方法，将装饰、标志图像映射到产品模型上，是现有标志、装饰设计的主要实现手段之但是，不管是用Photoshop处理的图像，还是用Corel-Draw绘制

The dynamic performance of the position-based visual servoing and the image-based visual servoing in the Cartesian space and the image spaces are investigated respectively based on this model.

在此模型基础之上，重点研究了基于位置的视觉伺服与基于图像的视觉伺服方法在笛卡尔空间和图像空间的动态特性。

The noise of the image is eliminated through anisotropic diffusion filtering based on Catt model while the details of the image are kept.

通过基于Catt扩散模型的各项异性滤波，实现了在保持图像细节的同时有效地消除图像的噪声。

New model utilizes grid computing technology,plans as a whole of network computing resources,combines with statistic classification advantage of support vector machine in finite sample space,probes into application of grid computation technology in image classification.

为了充分利用网格技术分布式、高性能、协同共享的能力，设计了一种基于网格和支持向量机的分布式图像分类器模型，采用网格计算技术，统筹网络运算资源，结合支持向量机在有限样本统计分类中的优势，探索网格技术在图像分类中的应用。

The basic property of image wavelet coefficient and classical wavelet domain statistical models are discussed.

探讨了图像小波系数的基本统计特征和几个典型的小波域图像统计模型。

Geometric correction for which there have been various processing methods, is one of the important parts of remote sensing image processing. In practice, the traditional model based on polynomial functions and the model based on collinearity equation are representative and used commonly. However both correction models have respective advantages and disadvantages.

在图像处理过程中，影像纠正作为遥感图像处理过程的一个重要环节，其处理方法也多种多样，传统的以共线方程和多项式方法为代表的纠正模型各有其优缺点。

Thiele type continued fraction interpolation is used to interpolate pixels around damaged part of the regular texture aiming at repairing the texture based on the regular inpainting method. Bisection is used when whole information and details are needed in sampling. Thiele type continued fraction interpolation is not an ideal method in the case of irregular damaged region Newton-Thiele type contined fraction is put forword to solve this problem. Point window is also used in the process of sampling.

在通常的图像修复技术上，对于一些规则的破损纹理图案采用一元Thiele型连分式模型来进行修复，在采样选取上，考虑到图像的整体信息和细节特征采用了二分的方法来进行处理，对于具有不规则破损区域的纹理图案，采用一元的方法不能达到令人满意的效果，采用二元Newton-Thiele型混合有理插值连分式的有理插值的方法来对具有不规则破损部分周围的像素点进行插值并采用采样点窗的方法进行采样可以达到修补破损部分的目的。

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。