QRSdetection

说明：  此程序为地震层析成像的LSQR算法，此算法用来解反问题。(This procedure for seismic tomography LSQR algorithm, the algorithm used to solve inverse problems.)

本程序是基于小波包的图像分割，内附有程序运行的图像(This procedure is based on the wavelet packet image segmentation, containing the procedures for running the image)

程序功能是把一副倾斜的文字图像矫正过来，通过边缘检测再进行霍夫变换完成(The program function is to correct a skewed text image.)

根据论文Harris C. A combined corner and edge detector[J]. Proc Alvey Vision Conf, 1988, 1988(3):147-151实现Harris角点检测(Harris corner detection)

提取图像的SURF特征点。包含两个例程，分别为提取到的特征点与特征点匹配(Extract SURF feature points from the image)

。基于Wirtinger流的相位恢复算法是由Emmanuel J. Candes等于2015年提出的新的相位恢复算法，该方法不再将光场函数局限于非凸集中，而是利用一种新的初始化方式以及迭代规则来寻找最优解。(a new approach about phase retri which is published in 2015)

一种基于形貌特征识别圆形的方法，通过拟合圆方程来实现的经典hough变换方法(A method of Circle Recognition Based on morphological features is introduced. The classical Hough transform method is implemented by fitting the circle equation.)

把视频分割成一帧一帧并且保存为图像，实现视频录制(Put the video into a frame of a frame and saved as image segmentation)

这个是广义高斯分布随机数产生程序，它可以用做广义高斯分布形状参数的估计，以及用在图像处理，独立成分分析，信号处理，数字水印等方面。(This is the random numbers about the generalized Gaussian distribution.It can be used in image processing, ICA, signal processing,digital watermark and so on.)

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。[1] 该方法于1999年由David Lowe[2] 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。(SIFT, namely Scale Invariant Feature Transform (Scale-invariant feature transform, SIFT), it is a description for image processing. This description has scale invariance, can detect critical point in the image, it is a local feature descriptor. [1] The method in 1999 by David Lowe [2] First published in the International Conference on Computer Vision (International Conference on Computer Vision, ICCV), 2004 was again perfect finishing after David Lowe published in the International journal of computer vision (IJCV) . As of August 2014, the paper cited the number of times a single article of more than 25,000 times.)