MSE

非常详细的一篇论文，仔细介绍了手指静脉识别的的全过程(A very detailed paper, carefully introduced the finger vein identification process)

用MATLAB处理数字图像，对图像进行梯度处理，绘制图像的梯度图。(MATLAB deal with digital image, gradient image processing, rendering the image gradient map.)

是图像处理中常用的测试图库，非常实用,如lena图片， 青椒图片，以及zelda图片等(is the test pictures used in image processing very useful)

变化检测的常用方法：基于pac的变化检测方法，结果很好！(Common method of change detection: pac change detection method based on the results of good!)

提供了基于POCS算法的超分辨率图像重建的源程序，效果较好(POCS algorithm based on super resolution image reconstruction of the source, the effect is good)

读取一24位彩色图像，计算其以下图像特征： 1）灰度直方图 2）颜色直方图（RGB3个通道） 3）方向梯度直方图（HOG，将图像分成4*4 16个块，8个梯度方向） (Read a 24-bit color images, calculate the following image features: 1) Histogram 2) color histogram (RGB3 channels) 3) histogram of oriented gradients (HOG, the image is divided into 4* 4 16 blocks, 8 gradient directions))

实现图像的分块压缩感知重建，DCT变换，OMP重构算法(Image block compressed sensing reconstruction, DCT transform OMP reconstruction algorithm)

本程序给出一个利用高斯法近似求解病态方程的解的例子(This program gives a Gaussian approximation method for solving equations morbid examples)

给予稀疏编码的原理将10幅自然图像进行系数分解成为图像基。(Given to the principle of sparse coding will be 10 coefficients of natural images into separate image-based.)

SIFT特征提取演算法(包含匹配以及除错机制RANSAC)-可用于两张影像之特征点匹配 (SIFT feature extraction algorithm (including the match, as well as debug mechanisms RANSAC)- can be used for two images of the feature points matching)