Optical-flow-code

Real-time foreground–background segmentation using codebook model 了解码书进行图像处理(背景与前景)的原理，可以从该文章中获得有益的参考价值(Real-time foreground–background segmentation using codebook model A practical paper for knowing of image processing theory(about foreground-background) by codebook)

在激光三维测量中，提取每一张图片的激光条纹中心坐标得到激光中心线。(In the laser 3D measurement, the central coordinates of the laser stripe are extracted from each image to obtain the central line of the laser.)

多边形填充 多边形裁剪 自定义多边形区域 自定义裁剪区域(Polygon fill polygon clipping custom polygon area custom crop area)

基于VisualC_和DCMTK的医学DICOM图像显示与调窗,同时在MFC 下完成鼠标拖动进行窗宽/窗位的调节(Medical image of DICOM VisualC_ and DCMTK display and window based on, at the same time in MFC complete the mouse to drag the window width/window regulator )

HOG adaboost pedestrian-detect

图像处理,matlab文件，利用SURF进行图像拼接，完成图像配准(Image processing, matlab files, image stitching using SURF, image registration completed)

绘制电脑中原始人声信号的时域、频域图，并在其上加入高斯白噪声，之后设计巴特沃兹滤波器将其滤除。(The draw primitive people in the computer sound signal time domain, frequency domain, and join in on the white Gaussian noise, after design Butterworth filter to filter out.)

属于图像分割的一种，利用matlab实现CV型,可以当function使用。其中包含图片，可以进行使用。(It belongs to one kind of image segmentation, and uses MATLAB to realize CV type, which can be used as function.It contains pictures, which can be used.)

说明：  掌纹识别代码，对图像预处理和特征提取及匹配(Palmprint identification code, the image preprocessing and feature extraction and matching)

说明：  (1)利用matlab函数进行噪声模拟，并用matlab自带函数进行图像滤波。 (2)利用给定图像自己编程实现使用均值滤波器、中值滤波器对不同强度的高斯噪声和椒盐噪声，进行滤波处理，并对结果进行评价分析，并解释结果。 (3)自己编程实现laplacian算子图像的处理，实现图像增强；编程实现sobel算子对图像边缘提取。将结果与matlab自带函数计算结果比较。 (4)利用模糊处理对图的灰度值进行改变实现灰度增强，并与直方图均衡结果比较((1) Matlab function is used to simulate noise, and Matlab function is used to filter image. (2) Using the given image, we use the mean filter and median filter to filter the Gaussian noise and salt and pepper noise with different intensities, evaluate and analyze the results, and interpret the results. (3) The image processing of Laplacian operator and image enhancement are realized by programming Sobel operator is used to extract image edge. The results are compared with those of MATLAB. (4) Fuzzy processing is used to change the gray value of the image to achieve gray enhancement and balance with histogram)