CV1

1.打开左右两张影像2.Harris算法提取同名点3.显示提取同名点（若要进行下一步匹配则不建议显示，这里只是用于查看是否提取出）4.相关系数匹配（只在找出的同名点内匹配）5.LSM最小二乘匹配（先进行粗匹配，再精匹配）(1 Open the left and right images 2.Harris algorithm to extract two tie points 3 shows the extraction of corresponding points (not recommended to proceed to the next match show, here is used to see if extracted) 4. Correlation coefficient matching (just looking match within a point of the same name) 5.LSM least squares matching (rough first match, then fine match))

用matlab实现的霍夫曼编码的图像压缩，主要就是依据霍夫曼编码的原理实现的图形图像处理。(Using the Huffman code matlab realize the image compression, Huffman coding is mainly based on the principle realize graphics image processing.)

主成分分析算法（PCA），可用于降维，也可用于处理图像相关性问题，提取主成分，分析图像细节信息和主要成分，用于图像压缩也可以(Principal component analysis algorithm (PCA), can be used for dimensionality reduction, can also be used to process images related issues, extracted principal component analysis and main component of image detail information, to be used for image compression)

实现人脸识别及分割，使用人脸进行RGB颜色提取，并分层提取特征信息。(Realize face recognition and segmentation, use face for RGB color extraction, and extract feature information hierarchically.)

一个去水印的程序，已调好。里边包含实例图片，可以帮助大家理解这个代码。(A program to watermark has a good tune. Inside contains examples of pictures that can help us to understand the code.)

多尺度LBP，代码根据论文“Learning Multi-scale Block Local Binary Patterns for Face Recognition”编写的(this code is obtained from the paper named "Learning Multi-scale Block Local Binary Patterns for Face Recognition")

在ccs编程环境中，用c语言实现对图像均值滤波的处理。(In ccs programming environment, using c language mean filtering the image processing.)

一个很好的马尔科夫随机场（MRF）模型应用实例。(Examples for the application of markov random field.)

说明：  光谱数据降维处理，结合了主成分分析和LDA方法，可直接运行(Spectral data dimensionality reduction processing, combined with principal component analysis and LDA method, can be directly operated)

M-s中的CV方法( CV)