K-means

说明：  利用匹配滤波器实现图形识别，包括程序和说明文档(Graphic Recognition Using Matched Filter)

Adaptive Perona–Malik Model Based on the Variable Exponent for Image DenoisingThis paper introduces a class of adaptivePerona–Malik (PM) diffusion, which combines the PM

该算法可以应用于计算机视觉的物体识别以及3D重构中。(The algorithm can be applied to object recognition in computer vision and 3D Reconstruction.)

利用C和C++进行数字图像处理的开发，涵盖几乎所有的图像处理算法(Using C and C++ for the development of digital image processing, covering almost all image processing algorithms)

解决散斑图像的重建问题,主要是使用了相位恢复算法(to study the picture problem)

图像处理基本算法其中之一的图像细化(Image processing one of the basic algorithm for image thinning)

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.)

说明：  QR二维码识别中在对图像预处理后最重要的一步就是要进行定位，QR二维码中有三个位置探测图形，通过扫描其特征便可以进行精细定位，提出了一种新的算法用于筛选候选点。(In QR code recognition, the most important step after image preprocessing is to locate. There are three position detection patterns in QR code, which can be precisely located by scanning its features. A new algorithm is proposed to screen candidate points.)

Elad 《Sparse and Redundant Representations 》一书中的代码，关于稀疏理论，介绍的比较系统

说明：  图像处理算法质量评估，图像结构相似度（ssim)评价的matlab实现，并附带原始论文pdf(This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images. Please refer to the following paper: Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error measurement to structural similarity" IEEE Transactios on Image Processing, vol. 13, no. 1, Jan. 2004.)