image_segmentation

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)

根据超限像素平滑定义用 Matlab 自编写超限像素平滑法滤波(Super pixel smooth)

mean-shift跟踪算法中核窗口大小的自动选区(mean-shift tracking algorithm in the size of the nuclear window automatically constituency)

实现vieb算法处理,ViBe_Matlab 能够实现视频处理,利用MATLAB实现的VIEB算法(Implementation of vieb algorithm processing)

GML_RANSAC_Matlab_Toolbox_0[1].2--RANSAC算法及其各种改进算法，以及仿真结果分析－－只是分析(GML_RANSAC_Matlab_Toolbox_0 [1] .2 RANSAC algorithm and its improved algorithm, as well as analysis of simulation results- only analysis)

说明：  计算机视觉，CCD相机标定程序,很好用！(Computer vision, CCD camera calibration procedures, very good use!)

先将图像分成一个个小区域后在进行合并，最后得到要提取的目标(First image into a small area after carrying out the merger, the final goal has been to extract)

Canny Edge Detector to detect sharp edges in an image

　　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.)

此程序给出了如何对一个二维函数进行高精度高斯积分的实例。(This program shows how to function on a two-dimensional Gaussian integral precision instance.)