给图像加椒盐和高斯噪声，以及空域滤波（中值和均值滤波）！...

霍夫曼编码的具体方法：先按出现的概率大小排队，把两个最小的概率相加，作为新的概率 和剩余的概率重新排队，再把最小的两个概率相加，再重新排队，直到最后变成1。每次相 加时都将“0”和“1”赋与相加的两个概率，读出时由该符号开始一直走到最后的“1”， 将路线上所遇到的“0”和“1”按最低位到最高位的顺序排好，就是该符号的霍夫曼编码。-Huffman code specific Methods: according to their probability of emergence of the size of the queues, the two smallest sum probability, as a new probability and the probability of the remaining re-queue, and then the smallest sum of two probabilities, and then re-queue until the last turn into one. Every time when the sum will be

利用OpenCV和VC++软件，根据SIFT特征提取算法提取图像中的SIFT特征点，并绘制出SIFT特征向量-OpenCV and VC++ using the software, according to SIFT feature extraction algorithm for extracting the image of the SIFT feature points, and draw out the SIFT feature vectors

采用索贝儿算子对图像进行边缘的检测和提取，效果一般吧，粗糙的示例程序。-The use of cable operator Belle image edge detection and extraction, the effect of the general bar, rough examples of procedures.

几何偏微分方程应用于图像处理的水平方法集程序-geometric partial differential equations used in image processing methods set the standard procedure

VTK与ITK结合读取BMP图片并显示，需要用CMake配置一下，适合有初学者。-Itk combine VTK and read BMP picture and show that you need to use CMake to configure, suitable for beginners.

SIFT，介绍局部特征不变向量原理。同时利用SIFT进行图像的分割和识别。比较基础的资料-SIFT, introduce the principle of local feature vector unchanged. At the same time, the use of SIFT to image segmentation and identification. Comparison of basic information

灰度AGV路径识别 彩色AGV路径识别 HSI彩色空间的AGV路径识别 路径中心线的定位 Radon变换的AGV路径偏差检测-AGV path identification gray color AGV path identification HSI color space to identify the path of the AGV path of the centerline of the positioning of Radon Transform AGV path deviation detection

自己编写的图象处理系统，可实现多种功能，界面较友好-Prepared their own image processing system can achieve a variety of functions, interface more friendly

混合高斯模型的经典文章，费了我好大的劲才能找到-Gaussian mixture model of the classic article, took me to find a good big Jin

主要实现图像的几何变换，主要包括图像的平移，镜像变换，转置，缩放，旋转等-The main achievement of the image geometric transformations, including image translation, image transform, transpose, zooming, rotating, etc.