hs_opticalflow

全变分程序，可以用来处理一维的信号去噪问题！！！！！(total variation)

说明：  基于matlab的简单手势识别代码，初学者可自行下载。(Simple gesture recognition code, beginners can download.)

图像处理，对图像进行二值化变化，对图像进行增强处理，及进行去噪处理 (image processing)

opencv函数包，用于matlab调用(opencv function package, calls for matlab)

说明：  结合雷达RCS回波数据，在matlab中生成ISAR二维图像，以及距离像方位像(Combined with radar RCS echo data, ISAR two-dimensional image and range profile azimuth image are generated in MATLAB)

若干次压缩后图像信噪比的变化情况，有子程序实现 (Several compressed image signal to noise ratio of the changes have Subroutine realize)

说明：  结合模糊C均值聚类算法与水平集方法的图像分割代码，分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)

这是一个去背景并且进行阈值分割的程序，阈值的选择采用迭代法(This is the background to a threshold value and segmentation procedures, the threshold value of the options using the iterative method)

用Matlab实现的Canny边缘检测算法，压缩文件中附有一张实验图片(Using Matlab realize the Canny edge detection algorithm, compressed file attached to an experimental image)

说明：  SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))