kmeans-segment

说明：  《数字图像处理与机器视觉:Visual C++与Matlab实现》5 图像分割,霍夫变换,Hough变换直线检测的Matlab实现(&quot Digital image processing and machine vision: Visual C++ and Matlab to achieve&quot 5 image segmentation, Hough transform, Hough transform line detection of the Matlab implementation)

超炫个性化首页，首页三种随机场景，特效震撼(Stunning personalized homepage)

自适应加权中值滤波，可以调节窗口大小和中心像素的权重以及其他相关像素与中心像素的权重比例。(adaptive weighted median filter)

图像处理中图像几何畸变校正程序，用于图像的广角畸变的校正。(Image processing procedures for image geometric distortion correction for images of wide-angle distortion correction.)

对两帧图像进行ICM调试.包含内容：1估计姿态和摄像机内参数；2两幅图做四次金字塔；3利用输入特征点采用ransac算法估计姿态R, T。4sift特征匹配；5摄像机标定。(ICM images on two debugging. Contains: 1 Estimated posture and intrinsic parameters 2 two plans to do four pyramids 3 using the input feature points using ransac algorithm estimates gesture R, T. 4sift feature matching 5 camera calibration.)

源码用于计算不同的重建图像方法得到图像的质量评估检测(Source used to calculate the different image reconstruction methods to assess the quality of the image detection)

多类图像特征结合上下文信息进行目标识别（分类、分割）(Many types of image features combined with context information for target identification (classification, segmentation))

通过利用自动阈值法，获得图像中颗粒粒径的分布，并将粒径分布进行排序。(By using automatic threshold method to obtain the particle size distribution of the image, and the particle size distribution of the sort.)

高斯混合模型的源代码。从文件中读取数据，用三个高斯混合模型进行处理(Gaussian mixture model of the source code. Read from the file data, using three Gaussian mixture model for processing)

说明：  运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点(Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better results)