给定2个点坐标，计算其连线与水平方向的夹角，夹角范围[0,2*pi]...

VC图像处理开发包 二值化 滤波等函数实现-VC Image Processing Development Kit binarization filtering function implementation

现在在所有图像去噪滤波中最较理想的去噪算法――Bayesian Least Squares - Gaussian Scale Mixture的matlab实现代码，应用丰富，与商用图像处理软件媲美，其原理可以参见J Portilla, V Strela, M Wainwright, E P Simoncelli, "Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain-Now image denoising filter in all the most better denoising algorithm- Bayesian Least Squares- Gaussian Scale Mixture realize the matlab code, application-rich, with the commercial image processing software rival, and its principle can be found in J Portilla, V Strela, M Wainwright, EP Simoncelli,

小波阈值去噪。对图像加噪，并进行小波1到4层分解去噪，给出信噪比走势图-Wavelet threshold denoising. Image noise, and 1-4 layers of wavelet decomposition of de-noising, signal to noise ratio is given chart

H.264内部运动补偿译码的verilog程序-H.264 internal motion compensation decoding process Verilog

现在进行图像处理已经越来越频繁，下面是用c语言进行图像jpeg处理压缩编码源程序-Will now proceed to image processing has become increasingly frequent, Here is using c language source code to handle compressed jpeg image

采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是Hough分析-for image processing, have been tested, the very practical, The main source of Hough analysis

该文件为一个用matlab 编写的bayes分类的误差分析程序，比较经典，只得相关开发人员参考 -one of the documents used for the preparation of the Matlab bayes classification error analysis procedures, more classic, only related to the development of reference

该源码是一个基于图像处理的相机自动调焦系统。-the source is based on an image processing camera auto-focusing system.

（1）hough1.m计算所有点的直线参数 ，并将参数存入累加数组中； （2）houghpeaks.m文件进行峰值检测 （3）houghlines.m对图像中的线段检测和链接：-(1) hough1.m straight points for the calculation of all parameters, and parameters into the cumulative array (2) houghpeaks.m document peak detector (3) houghlines.m segment the image in the detection and Links:

功能描述：该程序给图像处理的平台，实现了图像处理的大部分算法，包括图像变换、图像处理和图像分析，功能丰富，参考性很强。 开发环境：C++ Builder 6.0 所用控件：Sunisoft SuiPack、SDL Component -Functional Description: The program for image processing platform, to achieve the majority of image processing algorithms, including image conversion, image processing and image analysis, feature-rich, highly reference. Development Environment: C++ Builder 6.0 used in the control: Sunisoft SuiPack, SDL Component