边缘检测源代码，适用于图像处理初学者，以及，VC++ 初学者

The algorithm is based on “Segment-Based Stereo Matching Using Belief Propogation and a Self-Adapting Dissimilarity Measure” by Klaus, Sormann, and Karner. -The algorithm is based on

This file contains a summary of what you will find in each of the files that make up your Tracker application.-This file contains a summary of what you wil l find in each of the files that make up your Track er application.

在MATLAB下的很多经典的图象分割酸法-In MATLAB under a lot of the classic image segmentation acid

一个可以检测人脸的系统，大家下载看看，相互交流交流，呵呵。-A system can detect human faces, we download to see the mutual exchange of communication, huh, huh.

dicom 的c#库，包含各种dicom 对象，vr,dataset等-dicom of the c#, dicom contains various objects, vr, dataset, etc.

颜色空间变换函数。R,G,B与Y，R-Y，B-Y之间的转化、由亮度、色差变换R、G、B、c_to_sh --色差信号计算饱和度和色调-Color Space Conversion function. R, G, B and Y, RY, BY between the transformation, by the brightness, color transform R, G, B, c_to_sh calculation of color difference signal saturation and hue

图像分割的经典课本，对与研究图像处理方面的同仁有很大帮助-Image segmentation of the classic textbooks, and research on image processing aspects of great help to have Tongren

VC开发环境下编写的数字图像处理应用程序，适合初学vb图像处理人进行学习，有一定得学习价值-VC prepared the development environment the application of digital image processing, image vb for beginners to learn to deal with people, it must learn the value of

This Matlab code implements an edge based geometric active contour model without reinitialization. MATLAB Release: R13SP1 This Matlab code implements the level set method in Chunming Li et al s paper "Level Set Evolution without Re-initialization: A New Variational Formulation", in IEEE Proc. of CVPR 2005. EVOLUTION.m: core function that performs level set evolution. Demo1.m: a demo for a real cell images Demo2.m: a demo for a synthetic noisy image Demo1_ManualBinaryInitial: demo for the same image in Demo1, allows manual initialization by the user Demo2_ManualBinaryInitial: demo for the same image in Demo2, allows manual initialization by the user

高级图象处理软件，实现功能包括对DIB图像进行维纳滤波复原操作、模糊操作、随机噪声、高通滤波、低通滤波等-Advanced image processing software, the realization of the DIB features include image restoration Wiener filtering operation, fuzzy operations, random noise, high-pass filter, low-pass filtering