一个图像旋转的完整例程，对于刚刚开始接触图像处理算法研究的学习者非常有帮助。...

该程序功能主要是实现一下几个功能：图像的平滑，伪彩色和假彩色的增强-The main function of the program is to achieve about a few features: images smooth, pseudo-color and false color enhancement

计算两幅图像的psnr值,非常精确完整，绝对好用-Calculation of two images of the PSNR values, integrity and very precise, the absolute ease of use

数字图像处理中常用的均值滤波算法，VC编写，包含完整源代码与实例图片，很实用-Digital image processing used in the mean filter algorithm, VC preparation that contains complete source code and examples of pictures, very useful

上网加速工具与源代码-accelerate Internet tools and source code

将TV信号转换到VGA信号，通过FPGA的转换可以直接在显示器上显示。-TV signals will switch to VGA signal, through the FPGA conversion can be directly displayed on the monitor.

各种基本图像处理功能：1、格式转换：将RAW格式转换成BMP格式；2、线性变换；3、图像平滑；4、图像增强；5、边缘检测：梯度算子，Robert梯度算子，Prewitt算子，Laplacian算子，Sobel算子，Marr算子；6、直方图显示；7、形态运算（二值化、腐蚀、膨胀、开运算、闭运算）；8、自动分类及类别提取：K均值分类。其中：1.2.3.4.5.7仅能对灰度图处理，6.8不仅能处理灰度图还能处理彩色图-Basic image processing functions: 1, format: RAW format will be converted to BMP format 2, linear transformation 3, image smoothing 4, image enhancement 5, Edge Detection: Gradient Operator, Robert gradient operator, Prewitt operator, Laplacian operator, Sobel operator, Marr operator 6, histogram display 7, computing forms (two-value, corrosion, swelling, open computing, closing operation) 8, automatic classification and type of extract: K-means classification. One of: 1.2.3.4.5.7 only treatment for grayscale, 6.8 can not only deal with deal with grayscale color map

层叠中值滤波和层叠秩排序滤波的Matlab实现。-Cascaded median filtering and layering rank order filtering Matlab implementation.

读取视频文件的函数。比matlab工具箱中的mmreader更好用。-Read the video file functions. Than matlab toolbox mmreader better use.

A hybrid Particle Swarm Optimization algorithm for finding the minimum of the function fitness in the real space.-Particle Swarm Optimization algo abbreviation for finding the minimum of the function fi tness in the real space.

利用遗传算法迭代得到分割的最优阈值，其中用了otsu法则，是otsu分割的一种改进。-Iterative use of genetic algorithm to be optimal segmentation threshold, which used the Otsu rules, Otsu segmentation is an improvement.