trifilter

三维人脸数据库FRGC V1. 0,2.0包括图像的深度数据和纹理，格式分别保存为：abs和ppm 读取abs数据中的深度z轴数据，保存为480*640的矩阵，进而进行数据处理研究。并且贴ppm纹理，便于观察。 (Three-dimensional face database FRGC V1. 0,2.0 depth data including images and textures, formats were saved as: abs abs data and ppm reads depth z-axis data, save it as a 480* 640 matrix, and then studied for data processing . And paste ppm texture, easy to observe.)

对于离焦图像进行自动对焦的图像判定，通过对一些列的图像，从离焦到对焦再到离焦进行图像分析从而获得对焦图像的图片。(For the defocus image autofocus image determination, through a series of images into focus and then from defocus defocused image analysis to obtain a focused image of the picture.)

说明：  利用最大间类差，最优阈值，迭代阈值等方法实现图像分割(The maximum class difference, optimal threshold and iterative threshold are used to realize image segmentation)

YUV Quantization using VS2010

压缩感知的MRI算法实现,使用matlab,可以直接运行,压缩包内有图片(Compressed sensing MRI algorithm, using MATLAB, can be run directly, compressed packets have pictures.)

基于特征匹配的英文印刷字符识别，里面有实验所需的图片和具体的代码(English printed character recognition based on feature matching, which contains the pictures and specific code needed for the experiment)

说明：  Pattern Recognitn : Role of Digital Image Processing in Morphology

K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the characteristics of data clustering data. The principal component analysis reduces the dimension, carries on the visualization operation to the data, reduces the dimension to the features.)

此篇论文是利用稀疏低秩矩阵分解来实验的鲁棒图片的矫正。(This paper is the use of sparse low rank matrix decomposition to experimental robust image correction。 )

说明：  可评价影像融合质量，信息熵、标准差、相关系数等(Evaluable image fusion quality, information entropy, etc.)