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用于显著性检测的对比算法SP的MATLAB版本，比较新的是2013年的，亲测可用(MatLAB version of SP, a contrast algorithm for saliency detection, is relatively new in 2013, and pro-test is available.)

说明：  使用matlab中的nlfilter来进行邻域处理(Using nlfilter in MATLAB to process neighborhood)

说明：  车辆牌照识别，比较简单的识别系统，可能由于数据库的不足，导致其还存在一些误差(Vehicle license plate recognition, a relatively simple recognition system, may be due to the lack of database, resulting in some errors.)

利用蝶形算法类似于FFT，利用先行再列实现二维DCT。速度很快。包含反DCT的代码。(similar to the use of butterfly FFT algorithm, the first re-use of 2D DCT out. Very fast. Contain anti- DCT code.)

对输入的一张彩色图像，自己写代码实现Harris Corner 检测算法： 1. 不能直接调用OpenCV 里面与Harris 角点检测相关的一些函数； 2. 只能用C/C++，不能用其他语言； 3. GUI 只能用自带的HighGUI，不能用QT 或其他的； 4. 平台可以用Windows， Linux, MacOS； 5. 显示中间的处理结果及最终的检测结果，包括最大特征值图，最小特征值图，R 图（可以考虑彩色 展示），原图上叠加检测结果等，并将这些中间结果都输出成图像文件； 6. 命令格式： “xxx.exe 图片文件 k 参数(=0.04) Aperture_size(=3)”。(The input of a color image, write your own code to achieve Harris Corner Detection Algorithm: 1. Can not be called directly inside OpenCV some functions associated with the Harris corner detection 2. To only use C/C++, can not be used in other languages 3. GUI only with their own HighGUI, can not use QT or other 4. The platform can be used Windows, Linux, MacOS 5. Display intermediate and final results of the test results, including the largest eigenvalues diagram, the minimum feature value graph , R chart (you can consider color display), picture superimposed on the test results, etc., and these intermediate results are output as an image file 6. Command Format: " xxx.exe picture file k parameters (= 0.04) Aperture_size (= 3 ). " )

说明：  生成混沌随机序列并实现对彩色图像的加密，(Encryption of color image)

图像的傅里叶变换。在代码中实现了将两幅图像的幅度谱和相位谱进行交换，进而理解两者在图像显示中的作用(Fourier transform of the image. Implemented in the code will be two images amplitude spectrum and phase spectrum of exchange, and thus to understand both the role of the image display)

说明：  用于EEG脑部图像网络绘制的matlab程序包(Matlab package for EEG brain image network rendering)

分别采用RGB模型和HIS模型对图像imageLane.bmp进行锐化，并比较锐化的效果是否相同（两锐化后的图像相减）。(RGB model and HIS respectively model imageLane.bmp sharpening the image and to compare the effect of sharpening is the same ( sharpen the image after the subtraction).)

说明：  基于matlab的加窗傅里叶，使用了hanning窗(Matlab-based windowed Fourier, using the hanning window)