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具体实现思路：以4位数字的验证码为例 1、人工将验证码的4位数字每位对应的代码存入数据库中，每位存入0-9对应的代码，每个数可以多存这样可以提高识别率; 2、获取验证码以后，对其进行去背景、灰度处理、去噪点处理、分片处理以后生成每位数字对应的代码; 3、去背景色，这一步的目的是把验证码和背景颜色区别开来。4、去噪声：这一步要取出图像上的孤立点。这些孤立点被认为是噪声。  孤立点的定义：某个点，周围没有与该点等值的点。  或者某个连接块，该连接块的元素的个数小于某个给定值K， 把元素个数很小的连接块也定义为孤立点，有助于去处噪声。  去噪声算法：参照去背景算法。 5、图像锐化：图像锐化的目的是增强边界。这一步是可选的。看验证码的情况，这一步可以跳过。 6、图片有效区域截取：这个操作是将图片除验证码字符以外的边框去掉，只留下验证码字符图片，这样保证分片的准确性。 7、图片分片处理，这个处理是将整个图片分割成单个字符图片。8、拿分片图像生成的代码(eg:000111110011…..)与DB中已有代码相比较，取得相似度最高的即要验证码的字符;   注：如果DB的样本越多，识别的准确率也越高，但是速度会相应变慢

采用基于信道非均匀性校正改进的RLS算法实现对探测器的非均匀性校正(An improved RLS algorithm based on channel nonuniformity correction is used to correct the nonuniformity of detector.)

某个平面内的一系列点的密度分布，通过求出x和y方向的点的概率，最后用矩形框画出密度大的区域。4000个数据，详解，效果不错，直接能运行。(The density distribution of a series of points in the plane, determined by the probability of the point x and y directions, the final draw-density region with a large rectangular box. 4000 data, explain, good results can be directly run.)

采用多孔trous算法matlab代码，变了好长时间，大家可以参考一下(porous trous algorithm using Matlab code, changed a good long time, we can take a look)

基于模糊对比度的图像增强方法，大致过程仍然是先把图像从空间域映射到模糊域，在模糊域内通过定义一个局部对比度算子，然后通过对凸函数的加强来放大像素邻域的各像素之间的差异。 (Based on the fuzzy contrast image enhancement method, the general process is still the first images from space domain is mapped to the fuzzy field in fuzzy field through the define a local contrast operator, and then the convex function to enlarge the strengthening of pixels each neighborhood pixel differences. )

图像的读入，放大，cany检测，二值化，灰度化，任意角度旋转(Read image, zooming, cany detection, binarization, gray, and arbitrary rotation angle)

说明：  基于背景差分法和帧间差分法的目标跟踪 应用了二维滤波，效果较好(Based on background difference and frame difference method applied to two-dimensional target tracking filter, better)

随着生产和工艺的进步，人们对产品的质量要求越来越高，基于机器视觉的在线 检测系统成为一种重要的质量控制手段。本文对应用于宽幅面、高精度的基于分布式 机器视觉的产品表面缺陷在线检测理论与算法进行了研究，并在此基础上以印刷品和 浮法玻璃的缺陷检测为例，完成了模式产品和非模式产品的缺陷在线检测系统。(With the progress of production and technology, people are increasingly demanding high quality products, based on machine vision for online 检测 system into one kind of Zhong Yao quality Kongzhishouduan. This article applies to wide format, high-precision machine vision products based on distributed-line surface defect detection theory and algorithms are studied, and on this basis, and float glass in print defect detection, for example, completed a model of products and non-model product line defect detection system.)

传统的几种图像增强与去噪方法，包括直方图处理，灰度变换，滤波去噪等几类。细分为直方图均衡化，直方图规定化，灰度线性变换，中值滤波，维纳滤波，同态滤波(The traditional methods of image enhancement and denoising include histogram processing, grayscale transformation, filtering and denoising. Subdivided into histogram equalization, histogram specification, gray level linear transformation, median filtering, Wiener filtering, homomorphic filtering)

本件包含四种二维高通滤波器，他们分别是基于汉宁窗，布莱克曼，凯泽窗和巴特利特窗设计的二维高通滤波器。(This piece contains four two-dimensional high-pass filter, they are based on Hanning, Blackman, Kaiser window design windows and Bartlett two-dimensional high-pass filter.)