ZHONGBIAOFENGEG

主动轮廓模型结合一个特殊的显著性方法实现目标分割(using active contour with a special salient detction modle to segment an image )

该程序实现了harris角点的提取以及其在两幅影像上的配准结果，希望对大家有用(The program implements the harris corner extraction as well as their two images on the registration results, we hope to be useful)

多种图像处理基本方法的源代码，包括图像分割和边缘检测，非常适合初学者参考使用。(A variety of basic methods of image processing source code, including image segmentation and edge detection, is suitable for beginners reference.)

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)

基于NSCT与HSI的图像融合算法，采用非下采样的Contourlet变换和HSI彩色图像融合。(image fusion algorithms based on NSCT and HSI)

第8章 图象的检测及模板匹配 图象的分割与检测(识别)实际上是一项非常困难的工作。很难说清楚为什么图象应该分割成这样而不是那样。(Chapter 8 Detection of image template matching and image segmentation and detection (recognition) is actually a very difficult task. It is hard to say clearly why the image should be divided into such and not as.)

使用马尔可夫随机场进行图像分割，包括标记场、特征场建模和参数估计等，程序可运行。(image segmentation Using Markov random field , including label Field, features field modeling and parameter estimation, the program can run.)

Large Deviations for Gaussian Queues - Modelling Communication Networks - Michel Mandjes

本书是计算机视觉编程的权威实践指南,依赖 Python 语言讲解了基础理论与算法,并通过 大量示例细致分析了对象识别、基于内容的图像搜索、光学字符识别、光流法、跟踪、三维重建、 立体成像、增强现实、姿态估计、全景创建、图像分割、降噪、图像分组等技术。(This book is an authoritative guide to computer vision programming, which explains basic theories and algorithms based on the Python language.A large number of examples carefully analyze object recognition, content based image search, optical character recognition, optical flow, tracking, 3D reconstruction,Stereoscopic imaging, augmented reality, attitude estimation, panoramic creation, image segmentation, noise reduction, image grouping and other techniques.)

一种中值滤波的改进方法，基于滤波窗口邻域权重的中值滤波。(A median filter improvement method, based on filtering window neighborhood the weights of the median filter.)