POS-PID

说明：  另外一种有效的椭圆陪陪技术，对于亚像素边缘检测非常有用的，真的不错(Oval to chat with another kind of effective techniques for sub-pixel edge detection is very useful, really good)

canny边缘检测（自动设置Sigma的高斯平滑+Sobel(原始)+自适应直方图阈值）(canny edge detection (automatically set Sigma Gaussian smoothing+ Sobel (original)+ adaptive histogram threshold))

读取图片，用鼠标获取图片点坐标，输出坐标数据(Read the image, the image point coordinates obtained with the mouse, and output coordinate data)

实现对酒瓶子的边缘检测，背景差分，垂直和水平投影等，并可实现计数功能。(Achieve the bottles of edge detection, background difference, the vertical and horizontal projection, and to achieve counting.)

关于分水岭图像分割的源码，需要的可以下来用(watershed image segmentation on the source need to be down with the)

说明：  利用HOG算子实现电脑读取图像并进行面部识别与检测(Using hog operator to realize computer reading image and face recognition and detection)

实现图像匹配，ssda算法，自主截图选择匹配位置(To achieve image matching, ssda algorithm, self-selection match position screenshots)

说明：   最简单的差分格式有向前、向后和中心3种。 向前差分：f (n)=f(n+1)-f(n) 向后差分：f (n)=f(n)-f(n-1) 中心差分：f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers. Forward differencing: f (n) = f (n+ 1)-f (n) Backward difference: f (n) = f (n)-f (n-1) Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)

自适应正则化的超分辨率重建程序，采用L1L2范数。(Adaptive Regularized super-resolution reconstruction of the program, using L1L2 norm.)

基于小波域的隐马尔可夫树模型的图像去噪方法的实现代码。(Based on the Wavelet Domain Hidden Markov Tree Model Image Denoising realize the code.)