ACM

Itti的经典视觉显著性模型的matlab代码，可以直接运行，验证过后就可以下载了。(Itti vision matlab codes)

非常全面介绍了阴影检测算法以及如何去除阴影的算法，基本涵盖了该领域的所有知识点。(Is a comprehensive introduction to the shadow detection algorithm and how to remove the shadow of the algorithm, covering all the knowledge in the field point.)

提取糖尿病视网膜病变眼底图像上硬性渗出。将彩色图像转为灰度图，对灰度图进行形态学处理、去背景、阈值分割，最终将原图上的硬性渗出区域用绿色标记出来。(this word is to extrac the hard exudates on diabetic retinopathy fundus image. The color image to grayscale on grayscale morphological processing to the background, threshold segmentation, ultimately on the original hard exudates area marked in green.)

说明：  对原始图像进行阈值分割，把金属图像分割出来，抠掉金属的图像(Threshold segmentation is applied to the original image, and the metal image is segmented to remove the metal image)

MNIST数据集中图像数据文件， 60000个训练集(The MNIST dataset image data files, 60000 training set)

说明：  Halcon与C#联合编程（Halcon12）(Halcon and C# joint programming (Halcon 12))

图像阈值化分割,图像阈值化分割,图像阈值化分割(Image thresholding segmentation.Image thresholding segmentation.Image thresholding segmentation)

说明：  我是一个图象处理的初学者,用MATLAB语言编写了一些内部的函数,实现了图象处理的功能,比如entropy,laplician,otsu,top-hat等(image processing is a beginners MATLAB language some internal functions, achieving image processing functions, such as entropy, laplician, Otsu, top-hat, etc.)

常见的工程光学的现象模拟，如平面波球面波的模拟，一些干涉现象的仿真。(Common phenomenon of optical simulation projects, such as plane wave spherical wave of the simulation, the simulation of some interference.)

这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值！！( ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techniques are available: - Principal Component Analysis ( PCA ) - Linear Discriminant Analysis ( LDA ) - Multidimensional scaling ( MDS ) - Probabilistic PCA ( ProbPCA ) - Factor analysis ( FactorAnalysis ) - Sammon mapping ( Sammon ) - Isomap ( Isomap ) - Landmark Isomap ( LandmarkIsomap ) - Locally Linear Embedding ( LLE ) - Laplacian Eigenmaps ( Laplacian ) - Hessian LLE ( HessianLLE ) - Local Tangent Space Alignment ( LTSA ) - Diffusion maps ( DiffusionMaps ) - Kernel PCA ( KernelPCA ) - Generalized Discriminant Analysis ( KernelLDA ) )