Latex模板

基于直接最小二乘法的椭圆拟合程序，比较实用，适用于图像处理，椭圆拟合方面研究的初学者(Direct least square method based on ellipse fitting procedure more practical for image processing, aspects of ellipse fitting for beginners)

说明：  给图像加扰动，扰动方式以zernike多项式的形式加入，Image为源图像，Co为要加的zernike系数，为行向量， 输出分别为扰动后的图像，扰动PV值，扰动RMS值(failed to translate)

源程序为MATLAB代码，主要功能是对干涉SAR数据的基本处理。(The source code for the MATLAB code, the main function is to interferometric SAR data processing.)

说明：  小波变化是对傅里叶变换和短时傅里叶变换的一个突破，其改变就在于，将无限长的三角函数基换成了有限长的会衰减的小波。(Wavelet transform is a breakthrough of Fourier transform and short-time Fourier transform. Its change lies in that the infinite trigonometric function base is replaced by the finite attenuation wavelet.)

利用克隆选择和粒子群算法实现图像分割 有很好的分割效果。经过多次验证实践。(Clonal selection and particle swarm algorithm has a good image segmentation segmentation. After several rounds of verification practice.)

第8章 图象的检测及模板匹配 图象的分割与检测(识别)实际上是一项非常困难的工作。很难说清楚为什么图象应该分割成这样而不是那样。(Chapter 8 Detection of image template matching and image segmentation and detection (recognition) is actually a very difficult task. It is hard to say clearly why the image should be divided into such and not as.)

把图像从RGB格式转换到YUV格式的一个函数，直接调用，管他有没有，上传了再说(Image conversion from RGB format to YUV format of a function, a direct call, though he did not upload to say)

说明：  有四个M文件，可以用于图像处理中的图像细化，有较好的效果(There are four M documents, can be used for image processing of image thinning, there are good results)

Choen-Sutherland算法裁剪线段 计算机图形学中使用Choen-Sutherland算法进行图形多边形裁剪，并用MFC实现(Choen-Sutherland )

用于图象处理的小波变换并行算法,本文在二进小波变换及Mallat快速算法原理的基础上，分析了小波变换的 可并行成分，研究了小波变换的并行算法.算法分析表明，并行小波变换可以有效 地提高运行速度，其并行处理效率也接近理想状态.(image processing for the wavelet transform parallel algorithm, In this paper, two Progressive Mallat wavelet transform and fast algorithm on the basis of principle, Analysis of the wavelet transform the parallel components of wavelet transform the parallel algorithm. algorithm analysis showed that Parallel wavelet transform effectively increase the operating speed and its parallel processing efficiency is close to the ideal state.)