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车牌识别程序源码，很有用的！我也是从网上下载下来的，不过我自已做了些修改！(plates source identification procedures, very useful! I also downloaded from the Internet, but I do own some changes!)

图像取对数运算，很有帮助 (Images taken of the number of calculations, useful)

图像处理中C#畸变校正程序，针对鱼眼图像的径向畸变校正，利用空间直线在校正图像中仍然为直线的基本原理，且直线在除法模型下为圆弧，从而可以通过检测圆弧对鱼眼图像进行畸变校正。(Image processing program C# distortion correction for radial fisheye image distortion correction, the use of space in a straight line in the corrected image as the basic principle is still straight, and a straight line at the division model is a circular arc, so that the arc can be detected by fish eye image distortion correction.)

实现热键截图的功能，把截到的图片保存到制定的文件夹中，然后把图片输出到报表中，形成报表！(Achieve hotkey screenshot function, the cut-off to save the picture to develop a folder, and then the picture output in the report, the formation of statements!)

基于机器视觉，控制三自由度运动控制台来调整显微镜位置，通过图像处理得到易拉罐的表面刻痕大小和长度。(The software control the motion platform with 3 d.o.f. to position the microscope and then test the notch of cans using image processing.)

说明：  虚拟内窥镜关键技术研究 虚拟内窥镜技术（Virtual Endoscopy）是虚拟现实技术在现代医学中 的应用。它利用医学影像作为原始数据，融合图像处理、计算机图形学、科 学计算可视化、虚拟现实技术，模拟传统光学内窥镜的一种技术。它克服了 传统光学内窥镜需把内窥镜体插入人体内的缺点，是一种完全无接触式的检 查方法。虚拟内窥镜的研究旨在为医生提供诊断依据，还可应用于辅助诊断、 手术规划、实现手术的精确定位和医务人员的培训等。(Research on key technologies of virtual endoscopy virtual endoscopy (Virtual Endoscopy) is a virtual reality technology in modern medicine. It has made use of medical imaging as an original data, the integration of image processing, computer graphics, scientific visualization, virtual reality technology to simulate a conventional optical endoscope technology. It overcomes the traditional optical endoscope to be inserted into the endoscope body of the shortcomings of the human body is a no-contact inspection method. Virtual Endoscopy of the study was to provide diagnosis for doctors, but also applies to diagnosis, surgical planning, to achieve precise positioning of surgical and medical personnel training.)

能够选取一幅图像，对其进行灰度处理。设置了几种不同的灰度处理方式。(You can an image, gradation processing them. Provided several different ways of gradation processing.)

基于hmm的人脸识别代码(based on face recognition code)

说明：  由于只是利用图像的灰度信息, SIFT 算法不能很好地区分形状相似但颜色不同的物体。针对这一问题, 提出了一种基于彩 色的SIFT 特征点提取算法, 并着重分析了多种彩色模型对算法性能的影响。这种算法也是在图像的灰度尺度空间上检测特征点, 但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算。(SIFT)

Canny算子的分步骤实现，基于C语言，一共6部分，学习图像处理参考(Canny operator steps to achieve, based on the C language, a total of 6 parts, the study of image processing reference)