Markov Random Fields and application on Image processing and Computer Vision

使用VISUAL C++语言在WINDOWS平台下实现的图象处理程序。可以查看二值图象、灰度图象、16色图象、256色图象、真彩色图象-use Visual C language in the Windows platform to achieve the image processing. Value can view two images, gray-scale image, 16 color images, 256-color images, true color image

包括了常用的图象处理操作,包括平滑,锐化,边缘提取等等!值得一看!-including the common image processing operations, including smoothing, sharpening, edge extraction and so on! An eye-catcher!

小波分析理论入门，对图像处理信号分析的研究人员很有意义，强烈推荐-Introduction to the theory of wavelet analysis, signal analysis of the image processing researchers meaningful strongly recommend

（1）hough1.m计算所有点的直线参数 ，并将参数存入累加数组中； （2）houghpeaks.m文件进行峰值检测 （3）houghlines.m对图像中的线段检测和链接：-(1) hough1.m straight points for the calculation of all parameters, and parameters into the cumulative array (2) houghpeaks.m document peak detector (3) houghlines.m segment the image in the detection and Links:

VC读取tiff格式影像文件，很适合初学者参考-VC reads the tiff image file formats, it is suitable for beginners Reference

采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是Wash分析-for image processing, have been tested, the very practical, The main source of analysis Wash.

实现了Delaunay三角网的生长算法。在VC++6.0环境下编译-Realize the growth of Delaunay triangulation algorithm. In VC++ 6.0 compiler environment

几个将图像分块，将分块图像拼接，和裁减图像的实用小程序-several image block to block image mosaic, and the reduction of small images of practical procedures

在计算机视觉中首先一步是计算每个摄像机的参数(外参和内参)，这是重建物体所必须的，这一个过程称为摄像机定标(camera calibration)。这是我自己写的一个简单的采用2维模板(模板是由黑白相间的格子组成，格子大小60cm×60cm)定标的程序，交互性比较好，每个角点通过鼠标点击自动获取。-Computer Vision in the first step is to calculate the parameters of each camera (outside the Senate and internal), which is necessary for the reconstruction of objects, which a process known as camera calibration (camera calibration). This is what I wrote it myself using a simple 2-D template (template is composed of black-and-white lattice, lattice size of 60cm × 60cm) calibration procedures, better interactivity, each corner through the automatic acquisition of mouse clicks.

用Opencv实现图像的边缘提取：包括Sobel,Canny,Laplace算法，特别适合于初学Opencv的人士学习使用。-Realize Opencv images using edge detection: including Sobel, Canny, Laplace algorithm, particularly suitable for beginners to learn to use the Opencv.