图像化

Karl and I changed his code a bit so that it would work well in Woodstock, but the initial idea of an image visualization came from Florian.

卡尔和我改变了他的代码有点以便它在伍德斯托克工作不错，但图像的可视化的初步构思来自弗洛里安。

The main researches about Chinese character recognition of vehicle license plate and its corresponding technique in this paper are as follows:(1) The pre-processing for image is essential before character recognition. This paper firstly uses the experience knowledge to give a roughly orientation,then set a carefully orientation based on Otsu arithmetic,finally get the whole clear license plate.In order to solve the problem of character extraction,the fly-back method is put forward:the experience knowledge is made the best of.(2) An algorithm of feature extraction from grayscale image based on optimization Gabor filters is proposed.

本文针对车牌汉字识别及相关技术进行研究，主要工作包括：(1)在对车牌汉字进行识别前需要进行必要的预处理工作，我们首先运用车牌的先验知识进行粗定位，然后采用Otsu阈值二值化方法等进行快速鲁棒的车牌区域细定位，获得完整、清晰的车牌轮廓，并采用回扫式字符切割方法，充分利用了车牌字符固有的特点准确找到各个字符的分割点，为特征提取奠定了基础；(2)提出一种优化的Gabor滤波器特征提取算法直接对灰度图像进行特征提取。

We fould that most reconstruction algorithm based on wavelets did not consider about the noise. And so, we proposed the denoised reconstruction algorithm based on seperable MRA, in which added regularizion denoised method based on wavelets.

发现大多数小波重建算法都没有对图像的噪声进行处理，基于此，提出了对基于可分离MRA的小波去噪重建算法，融入了基于小波的阀值化去噪算法。

In Chapter 4, the related mathematical knowledge, methods and principles are presented which include mathematical morphology, Fourier transform and discrete cosine transform, illposed problem and corresponding regularization methods, basic iteration methods and preconditioning technologies.

回顾并比较了传统线性和非线性滤波方法，详细综述了从变分到PDE在图像滤噪与模糊恢复上的应用和发展，模型基本形式为无约束极小化问题：〓（1）惩罚算子L扩散形式为〓（2）Κ为扩散项，是调整扩散程度的关键因子。

This paper is composed of the algorithm design of dual-tree binary coefficients complex wavelets,MGM algorithm for linear systems that can be diagonalized by generalized discrete Fourier transform and type-II discrete sine transform matrices, wavelet and MGM algorithms for Toeplitz systems and their applications in signal and image processing.

本文以多进制小波与对偶树二进制系数复数小波算法设计、三角变换对角化系统MGM算法、Topelitz系统的小波与MGM结合算法作为理论主线，以对偶树复数小波与扩散方程方法结合的图像去噪，信号与恢复作为应用背景展开讨论。

Unstructured data such as text, graphic images, still video clips , full motion video , and sound waveforms tend to be large -- a typical employee record may be a few hundred bytes, but even small amounts of multimedia data can be thousands of times larger.

从数据量上看，文本，图像，视频剪辑，电影，音频波形等非结构化数据所需的存储空间十分庞大。一条典型的雇员记录可能只需数百字节，而一条普通的多媒体数据就可能数千倍于前者。

On one hand, error point pairs are moved out. On the other hand, accurate fundamental matrix is built.

然后我们介绍了立体视觉基于图像的分层化三维重建理论。

If you perfer a graphical method for choosing between many background images, perhaps nitrogen is a good option.

如果你喜欢用图形化的方法在众多背景图像中选择壁纸，也许nitrogen是一个好的选项。

The principle of automatic derterminating threshold based on gray scale histogram of image data in valid region is analyzed.

介绍了该方法的实现过程，并分析了在有效区域内根据图像数据的灰度直方图自动选择二值化阈值的原理。

Automatic collimation of norm pole was realized by precisely halving norm pole on the method of subpixel on former gray image.

对原图像灰度化，在标杆区域内利用像素细分法最终精确平分标杆，实现标杆的自动精确瞄准。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。