NDVI批量计算Python代码

边界跟踪程序，可以跟踪闭合的边界和非闭合的边界。读者可以根据自己需要存储其跟踪方向以及跟踪路径。(Boundary tracking program, you can track the closed borders and the non-closed borders. Readers can track the direction of their own need to store and track the path.)

说明：  在计算机视觉领域一种非盲去模糊的方法代码(A non-blind deblurring method code in the field of computer vision)

画任意旋转点源码，例程程序使用画板，根据两点的坐标及旋转角度画出旋转点的坐标。(Videos arbitrary rotation point source , a routine procedure using Sketchpad , coordinate rotation point to draw the coordinates of two points and the angle of rotation .)

图像灰度拉伸、直方图均衡算法以及FCM聚类算法。(Image stretching, histogram equalization algorithm and the FCM clustering algorithm.)

利用L1范数TV正则化对影像进行超分辨率重建(Super resolution reconstruction of images using L1 norm TV regularization)

基于快速核独立分量分析的图像反光分离研究 (Fast Kernel independent component analysis based on the image separation of reflection)

基于灰度矩的亚像素边缘检测，零件边缘提取(Subpixel edge contour extraction)

Visual Tracking via Locality Sensitive Histograms.基于局部敏感直方图的目标跟踪算法，该算法在CVPR2013中出现，算法较简单但却非常有效，值得各位研究视觉跟踪算法的同行研究(Visual Tracking via Locality Sensitive Histograms)

说明：  ：基于主动轮廓识别和被动轮廓识别方法各自的优缺点，提出结合主动和被动的方法，先对图像进行被动轮廓的预处理，然 后再应用主动轮廓的方法，通过比较选出Canny算子进行预处理，再通过基于概率的方法分割图像，最后再应用Snake模型进行 轮廓提取。并取得较好的应用。(: Identification Based on Active Contour and passive contour recognition advantages and disadvantages of each method, proposed method of combining active and passive, passive first outline of the image pre-processing before applying the active contour method, by comparing the pre-selected Canny operator treatment, and then through the image segmentation method based on probability, and finally application of Snake model for contour extraction. And get better application.)

通过计算机usb摄像头进行图像采集，然后实时处理，跟踪其中运动物体，并进行计数，采用中值滤波法得到背景，并根据需要进行更新，视频处理采用了动态差分与前景差分结合的方法，效果比较理想，但无法解决人物重叠的问题(Usb camera through the computer for image acquisition, and real-time processing and tracking moving objects in which, and the count median filter by using the background and update as needed, video processing using a dynamic difference with the prospect of differential combination of methods, results ideal, but can not solve the problem of overlapping characters)