图像的小波变换，用C++代码编程实现。用于小波图像处理的，如去噪、融合之前。...

Effcient Graph-Based Image Segmentation算法的源码， 已通过测试， 可以使用-the source data of the algoritham Effcient Graph-Based Image Segmentation

基于神经网络的识别程序，程序采用三层BP网络训练，采用了普通定义中加入动量因子的训练法，精确度很高。-based on neural network identification procedures, procedures adopted a three-tier network training BP, with its definition of momentum into the training factor, a high degree of precision.

这是一个基于opencv的sift算法的实现-This is a sift of opencv algorithm based on the realization of

这是一个计算机图形学实例，在C++环境下实现圆中点BRESENHAM算法-This is an example of computer graphics in C++ environment to achieve the midpoint circle algorithm BRESENHAM

数字图像分割源代码，只要是对于医学图像CT片的分割，基于CT灰度值的玉直分割

并行磁共振成像经典算法sense，很不错，对于研究并行磁共振成像绝对有帮助-New theoretical and practical concepts are presented for considerably enhancing the performance ofmagnetic resonance imag-ing (MRI) by means of arrays of multiple receiver coils.

可运行,包括图象处理和VC++的学习,适合初学者.需要的可以下载.-Run, including image processing and VC++ Learning, suitable for beginners. What is needed can be downloaded.

图像分割与特征提取 C开发 The picture division and the characteristic withdraw--C development -Image Segmentation and Feature Extraction C Development The picture division and the characteristic withdraw- C development

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.

新编的角点检测程序，增加了健壮性！适合多用途的角点检测应用！-Reflected in the new corner detection process, an increase of robustness! Corner detection for multi-purpose applications!