PV_MI

说明：  数字摄影测量中的最小二乘匹配算法，带示例图像(Feature points matching using LSTM)

说明：  K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现(K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve)

说明：  通过超像素算法，读入图片确定分割数，得到最佳图像分割结果(Through the superpixel algorithm, read in the picture to determine the number of divisions to get the best image segmentation result)

做图像轮廓提取的应该都听说果GVF这个概念，也难免有没听过的，不过可以看看这个程序(Does the image contour extraction of GVF should have heard the concept of fruit, but also inevitably have heard, but can look at this process)

链码直线检测，采用求取图像边界，然后边界跟踪，判别直线(Chain code line detection, to strike the image boundary, then the boundary tracking, discriminant linear)

是零树小波编码算法的改进，SPECK编码算法较EZW编码算法有着更大的优势(Is zero tree wavelet coding algorithm improved SPECK coding algorithm has more advantages than EZW coding algorithm )

用SIFT算法实现了刚性和非刚性图像的配准 并且效果非常理想 SIFT的特征点的提取 描述 和匹配的算法有注释(Nonrigid Registration Using Free-Form Deformation. )

lda线性特征提取，用于人脸识别，首先进行小波特征提取后用lda提取特征。(lda linear feature extraction for face recognition, first of all, after feature extraction using wavelet feature extraction using lda.)

说明：  matalb程序编写横向剪切干涉最小二乘法波前拟合。(matalb programming lateral shearing interferometry method of least squares wavefront fitting.)

前景检测 对动态背景进行多角度监测 动态背景检测(Foreground detection is used to monitor dynamic background from different angles)