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MTF计算程序，图像源需为倾斜边缘，能快速计算不同倾斜边缘的MTF曲线。(MTF calculation procedure，Sequence image source need for inclined edge，Can quickly calculating different inclined edge of MTF curve. )

Matlab源代码：利用有序抖动算法（Bayer矩阵D4和D8）生成二元图像；利用误差扩散算法（Floyd-Steinberg filter）生成二元图像。(Matlab code using the ordered dithring (Bayer D4 and D8 matrix) to generate the binary images Matlab code using the error diffusion algorithm (Floyd-Steinberg filter) to create a binary image)

Hilditch算法是现有的一种细化算法,它适用于 输入图像为0和1的二值图像。像素为1的区 域是需要细化的部分, 像素为0 的区域是背景(Hilditch thinning algorithm is an existing algorithm, it applies to the input image is 0 and 1 of the binary image. Pixel region 1 is a need to refine the part of the pixel area is the background for the 0)

说明：  均值漂移图像分割测试程序,使用meanshift算法对彩色图像进行聚类分割，效果很好，并且显示使用时间、找到的类数，另包含RGB与LUV颜色空间的互相转换，图片矩阵数据转为降维数组等，程序中有详尽的注释和说明，并且配有测试结果图片，非常适合计算机视觉、机器学习、模式识别的朋友参考(failed to translate)

小波包对信号的分解与重构在matlab中的应用，以及能量，频率(Wavelet packet decomposition and reconstruction of the signal in the application of matlab, and energy, frequency)

实现对鱼眼图像的校正 我自己执行过 可以使用(it can realise the rectification of the fish eye image )

自己编的利用FreeImage库分割图像的程序,可以将一个图片分成5个不同区域的图片,主要用于壁纸分割.(Own use FreeImage library image segmentation procedure, a picture can be divided into five different regions of the picture, the main partition for wallpaper.)

MATLAB实现图像纹理特征提取：自相关函数法、灰度共生矩阵、分数阶傅里叶变换。GUI界面。运行后可自定义自相关函数的x和y轴偏移，灰度共生矩阵的距离和角度，分数阶傅里叶变换的阶数。输出相应的特征图。(MATLAB realize image texture feature extraction: autocorrelation function method, gray co-occurrence matrix, fractional Fourier transform. GUI interface. After operation, the X and Y axis shifts of the correlation function, the distance and the angle of the GLCM, and the order of the fractional Fu Liye transform can be defined. Output the corresponding feature map.)

图片黑白化，使彩色图片实现黑白化功能，还能还原色彩(Black and white pictures )

图像处理模式识别一种分类算法：svm，对于所提取的图像的特征进行训练学习然后分类。(Image processing, pattern recognition of a classification algorithm: SVM trained to learn the characteristics of the extracted image and then classified.)