Phase_Unwrapping_2D

说明：  LMMSE图像超分辨率重建，基于先验知识的图像超分辨率重建(LMMSE image super-resolution reconstruction, image super-resolution reconstruction based on prior knowledge)

tsne 快速降维算法 效果好于PCA 算法(tsne fast dimensionality reduction algorithm is better than PCA algorithm)

LabWindows /CVI 大学实验指导书，难度循序渐进，一套下来，基本操作都会了。推荐一下(LabWindows/CVI University experiment instructions, the difficulty of step-by-step, set down, the basic operation will be. You recommend)

matlab实现的小波降噪声图像处理算法，效果十分好，自己做了调试。(The wavelet reduced noise image processing algorithm realized by Matlab is very effective and has been debugged.)

基于VC++的BMP图像——24位转8位 (Turn based BMP images in VC++- 24 8)

DC图像转BMP源码，程序调用API函数把DC图像直接写入BMP图片中,不使用临时组件中转。(DC image transfer BMP source , the program calls API function to DC BMP picture image is written directly , without the use of temporary transit components .)

图像分割的一个小程序。经过检验，直接运行没问题。希望对大家有用，在这里分享了。(A small program for image segmentation. Tested directly run no problem. We want to share here.)

基于MATLAB的图像配准算法（高斯金字塔与其他几个算法）(MATLAB-based image registration algorithm (Gaussian pyramid with several other algorithms))

比较好的东西，留着待用，可用于水质检测的测量参考~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~(Good stuff, keep aside ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~)

说明：  本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)