watershed

　　本函数选用阈值分割的方法来完成瞳孔定位。根据图像的灰度分布特性，瞳孔部分的灰度值最小，其次为虹膜部分，最大的为巩膜部分。因此在灰度直方图中，第一个大峰值的邻域即是瞳孔所在区域。(Function selects the threshold segmentation method to accomplish the pupil location. Based on image gray distribution features, the pupil part of the grey value of the minimum, followed by the iris part, the biggest part of sclera. So in gray level histogram, the peak value of the first big neighborhood is the pupil area.)

说明：  采用中值滤波法背景建模，图像处理，对连续图像进行目标跟踪和数据关联。(Median filtering method using background modeling, image processing, continuous image of the target tracking and data association.)

基于mind相似性度量的图像配准，配准精度很高。效果不错。(Mind based on similarity measure of image registration, the registration precision is high. The result is right.)

基于边缘检测的迭代分水岭分割算法源码(内附图片等)(Image Segmentation Using Iterative Watersheding Plus Ridge Detection)

压缩感知图像处理用于SAR 经典的压缩感知教科书的源代码(compressed sensing SAT)

Python+OpenCV实现的行人检测(Pedestrian Detection of Python + OpenCV Implementation)

FCM是一种实用的算法，在医学图像分割中被广泛应用，有很多的改进措施，本程序是基于FCM来分割MRI人脑图像(MRI brain segmentation using FCM)

Image corrosion, swelling, binarization processing, image binary segmentation procedure matlab gui

利用jpda算法进行目标的跟踪仿真，给定目标的起始位置和运动速度，自动添加杂波，输出定位后结果(To utilize jpda algorithm for target tracking simulation, to the starting position and velocity of the target, and automatically add clutter, output positioning result)

利用图像差分，进行人体跟踪，并记录视频帧中目标的坐标，（PS:没有上传视频模板）(Differential use of image for the human body tracking, and record the video frame in the coordinates of the target, (PS: do not upload videos template))