voronoi3d

在图像传输时，常常需要对图像进行压缩，这些代码用来对图像进行压缩编码。(In the image transmission, it is often the need for image compression, the code used to image compression.)

根据图像的颜色对图像进行分割，里面有多个方法，一种是RGB色彩分割，一种是K均值聚类，还有对视频处理分割，有多个测试图(According to the color image on the image segmentation, there are multiple ways, one is RGB color segmentation, one is the K-means clustering, and video processing division, a plurality of test pattern)

一些常见的图像处理方面的图像（尺寸不一）(Some common image processing aspects (different sizes))

内容包括高斯混合概率假设密度滤波器仿真程序，GM-PHD滤波器提供了一种PHD滤波器工程化的方法，在无数据关联的情况下进行目标跟踪。(This algorithm is extended to accommodate mildly nonlinear target dynamics using approximation strategies from the extended and unscented Kalman filters.)

同态滤波增强暗部细节，通过分解为照射分量和反射分量处理图片(Homomorphic filtering enhances the details of the dark portion by decomposing the image as an irradiated component and a reflection component)

本程序集合了互信息配准，PV差值，powell算法，基于小波变换的图像融合的一整套算法。只需要在GUI界面输入两幅图像，即可自动完成图像的配准融合。程序包含Matlab源代码。用Matlab打开imagefusion.m，即会弹出gui界面。融合前要输入参考和浮动图像。图像要求像素的 长＊宽 一样。否则会报错。程序只能处理灰度图像，彩色图像也会转化成灰度图像处理。程序代码已经有详细的注释，方便读者理解。(The procedures set of mutual information, PV difference, powell algorithm, based on wavelet transform image fusion set of algorithms. Only need to enter the two images in the GUI interface, you can automatically complete the image registration fusion. Program contains Matlab source code. Using Matlab open imagefusion.m, gui interface will pop up. Fusion before the input reference and floating images. Image requires the same pixel length* width. Otherwise incorrect. Can only handle grayscale images, color images into gray image processing also. Program code has detailed notes, to facilitate understanding.)

一种精确地二维图像配准方法，实现亚像素的配准。(An accurate two-dimensional image registration method to achieve sub-pixel registration.)

实现对图像的经验模态分解，得到经验模态分解后的第一层IMF分量，反映了图像的主要信息，去除冗余信息，为识别提供了基础。(Empirical mode decomposition of image, obtain the empirical mode decomposition of the first layer of IMF component, reflected the main information of the image, to remove redundant information, provide the basis for identification. )

对Lena图先进行jpeg压缩，再对压缩后的图像分别进行小波软阈值去噪和非抽样硬阈值去噪，比较两种去噪方案，非抽样硬阈值有更好的效果。这是根据一篇外文文献来进行编程的，最后有图像对比结果。(According to the paper of OPTIMAL WAVELET THRESHOLDING FOR VARIOUS CODING SCHEMES ,I firstly compresse the Lena picture using the jpeg method ,then respectivly denoise it using the wavelet soft-thresholding method and the undecimated DWT hard-thresholding method.Comparing the two method ,we can find the undecimated DWT hard-thresholding have a better result.)

matlab书上第六章数值运算的几个样例习题。。。。。(the descirbtion of the matlab)