shadow

hough变换是图像处理中一种方法，该文件是用matlab语言实现的hough变换，但未使用matlab提供的函数，可以用于hough变换的学习和掌握。(hough ??换 是??像 )

AForge.NET-sample

《VC++数字图像识别技术典型案例》第九章光学字符识别技术，包括预处理、边缘跟踪和特征提取算法("VC Digital Image Recognition Technology typical case," the ninth chapter of optical character recognition technologies, including pretreatment, Edge tracking and feature extraction algorithm)

HOG LBP 在python matlab C++环境下的实现(Implementation of HOG LBP in Python matlab C++ environment)

利用背景减除法进行运动前景分割，而后利用归一化RGB颜色空间进行阴影减除，利用连通域进行滤澡，对每一帧进行运动前景提取。(Motion detection by background subtraction and RGB shadow removing method.)

基于Hough变换和基于Radon变换的直线检测算法代码(source code of two straight line detection algorithm (based on Hough Transform and Radon Transform))

visualc++6.0 实现图像中圆的检测(circle detection)

说明：  利用梯度算子对图像边缘进行计算，比较得出清晰度评价值，进行取得最佳清晰度图片(The gradient operator is used to calculate the edge of the image, and the sharpness evaluation value is obtained by comparison to obtain the best sharpness image)

说明：  通过利用“Otsu”方法对图像进行全局阈值分割处理。然后，将灰度图转化成二值图，为获得大豆颗粒计数和大小做准备。调用函数获得图像连通图的数量，并测量标注矩阵中每个标注区域的属性，获得每个标注区域的长度。最后通过寻找每个区域的重心数，即可统计出大豆的个数(The Otsu method is used to segment the image. Then, the gray-scale image is transformed into a binary image to prepare for the soybean particle count and size. Call the function to get the number of connected graphs, measure the attributes of each annotation region in the annotation matrix, and get the length of each annotation region. Finally, the number of soybean can be calculated by finding the number of barycenters in each region)

利用维纳滤波实现噪声中的语音信号恢复，产生chirp信号，噪声为高斯白噪声，噪声叠加在chirp信号上，构成观测信号x(n),使用编程方法实现使用维纳滤波滤除高斯噪声。(Wiener filtering the voice signal recovery in the noise generated chirp signal, the noise is Gaussian white noise, noise superimposed on the chirp signal, constitute the observed signal x (n), using the programming method using the Wiener filter filter Gaussian noise.)