0502：图像的欧拉数计算，适合初学者…

对图象进行均值滤波的程序,选取一幅图象,加入噪声,对图象均值滤波,输出图象.-Means of image filtering process, select an image, adding noise, the mean of image filtering, the output image.

一个把给定矩阵（图像）按ZigZag排序的算法，高级程序员编写，非常精炼，可供图像处理编程人员参考。-put to a fixed matrix (Image) by permutation sorting algorithm, senior programmer preparation, very refined image processing program for reference.

本例主要是采用opencv进行的细胞个数的识别，效果较好-Opencv in this case is mainly used for the identification number of cells, the effect well

ccbp制作的物理演示程序,李元杰老师首创,具有多种功能-ccbp production of the physical demonstration program, the first Liyuanjie teachers with a variety of functions

TI DM642开发的实用程序： 包括：YUV视频格式转换成RGB格式C版本程序、ASM版本程序以及有关中值滤波的C程序； 相当有用！

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！-First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!

一致性法则求阈值，利用一致性准则法公式实现-Consistency rules demand threshold, use the formula to achieve consistency of Criterion

Matlab Toolbox 进行摄像机标定,在Matlab中使用的工具箱-Matlab Toolbox for camera calibration, used in the Matlab toolbox

线性时不变化图书馆是一个面向对象的计算机视觉库在C + +编写的Windows /的MS - VC + +和Linux的/海湾合作委员会。它提供了很多功能来解决数学问题，许多图像处理算法，一些分类的工具-LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...

图像比对是以原件的图像为基准，对待鉴定件图像进行预处理、定位、配准；再对原件及待鉴定件的图像进行相似度比对；计算出两者的相似度数值。 -Image than on the original image is based on identification of pieces of treated image pre-processing, positioning, registration again and to be identified on the original piece of image similarity matching calculate the similarity between the two values.