jpeg_quality_score

介绍了一种显著性检测，程序可以直接运行，可以得到显著图像，有图像源。(propose a bottom-up visual saliency detection algorithm. Different most previous methods that mainly concentrate on image object, we take both background and foreground into consideration. )

说明：  基于c#运动控制及图像处理项目源码，有兴趣可以看看(Based on C# motion control and image processing project source code)

VisualC++数字图像处理技术详解第2版光盘-第八章 分水岭分割算法(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter VIII watershed segmentation)

sobel segmentation, this algorithme has a great effect for segmenting

图像边缘检测,运用各种算子,压缩包中保存了各种算子算法后的效果图(MATLAB Image corrosion expansion, not the kind of statement directly)

经典的斑块分析算法，计算Blob的源码，算法很好。(Classical plaque analysis algorithms to calculate Blob source code, algorithms very well.)

cashift_matlab,我做的一些修改： 1.修改了之前网上的那种需要输入avi文件名再读取的方式，改成直接读取avi文件。 2.修改了另外建立avi文件的方式。 2.实时显示跟踪结果。 3.彩色图显示，用红色框圈出目标。 4.因为是基于颜色特征的，所以要选色颜色特征明显的。你可以自己拍摄目标颜色突出的avi视频来测试。 5.程序结束时有点小问题，按ctrl+c结束。(cashift_matlab, I made some changes: 1. Modify the kind of network before you need to enter the avi file name and then read the way to read avi file directly. 2. Modify the other way to create avi file. 2. Real-time display tracking results. 3. The color map shows the target with a red box. 4. Because it is based on the color characteristics, so to choose the color characteristics of the obvious. You can test your own avi video with a prominent target color. 5. A little problem at the end of the program, press ctrl + c to end.)

适合初学小波的同志，小波图像增强原理底层。严格高低频分解重构，没有使用小波工具库。(Suitable for beginners wavelet comrades, the underlying principle of wavelet image enhancement. Strict high-low-frequency decomposition of reconstruction, did not use the wavelet tool library.)

斯坦福大学概率图模型课程作业，利用马尔科夫随机场进行图像分割，能运行，附有英文说明文档(Stanford University Probability Chart Model Assignment, using Markov random field for image segmentation, operation, with English documentation)

基于双边滤波算法对原始图像进行增强，输入文件要求是ppm(image enhancement through recursive_bilateral_filtering)