利用小波包技术wavepacket实现小波消噪处理，给出处理结果

用matlab编写的基于Harris的角点检测程序，可以运行，很适用-Matlab prepared with Harris on the corner detection process, you can run, it is applicable to

彩色RGB图像四叉树分割的程序，找了好久才找到的。Improve together-RGB color images quadtree segmentation procedures for a long time to find the. Improve together

dicom到bmp转换程序 非常好用，亲自调试过，并且很准确，可以打开多个公司的DICOM图像,推荐-DICOM to bmp conversion process is very easy to use, personally have been debug, and very accurate, you can open multiple companies DICOM images, Recommended

图像处理编程-Image Processing Programming

该源代码可以直接下载下来使用，而且是地地道道的对RGB图像进行分割，我已经测试通过了。-The source code can be directly downloaded to use, but also out-and-out on the RGB image partition, I have the test passed.

判断点是否在多边形中，输入要求有组成多边形的点和要判断是否在多边形中的点，速度快！-To determine whether the polygon points, enter the required polygon composed of points and to determine whether the points in the polygon, fast!

用3330+2020两芯片设计DVB的电原理图，可以直接用-With 3330+ 2020 two DVB chip design electrical schematics, can be directly used

一篇关于遥感图像处理的专业论文，对做图像处理的人士有很大的帮助-An article on remote sensing image processing professional papers, to do image processing to those who are very helpful

Forward-Backward MHI(前后向运动历史图)是一个快速有效的运动目标检测方法，本程序正是实现2006年Zhaozheng Yin and Robert Collins的“Moving Object Localization in Thermal Imagery by Forward-backward MHI”文献中的方法。此程序可以很方便的对该方法的优缺点作出评判。给运动目标检测器的选择提供了除“帧间差”和“背景相减”外的又一方法。 本程序基于OpenCV。-Forward-Backward MHI (before and after the historical figure to the movement) is a fast and efficient moving target detection methods, this program is to achieve in 2006 Zhaozheng Yin and Robert Collins of the " Moving Object Localization in Thermal Imagery by Forward-backward MHI" in the literature method. This procedure can easily judge the advantages and disadvantages of the method. To the moving target detector choose to provide that except " bad frames" and the " background subtraction" another way outside. The program is based on OpenCV.

ridgelet 变换源代码,图象处理方面有广泛应用空间- MATLAB source code that implements the finite ridgelet transform in the paper "The finite ridgelet transform for image representation". -Ridgelet transform source code, image processing has wide application space- MATLAB source code that implements the finite ridgelet transform in the paper