采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是高斯平滑...

此算法是基于小波变换特征提取方法的图象匹配-this algorithm is based on the wavelet transform, feature extraction, image matching method

本目录存放的是第2章文档的程序源代码，子目录说明： wvltlib 中存放的一些基本的小波基定义和相关库函数； wvltwrefine 中存放的是小波基细化的程序代码； wvltwxfrm 中存放的是一维小波变换的数学实现-Catalog store is the first of the two chapters of the document source code, subdirectories : wvlt lib stored in the basic definition of small Porgy and related library functions; wvlt wrefine stored in the small Porgy sophisticated code; wvlt wxfrm is stored in the wavelet transform one-dimensional mathematical achievement

计算机图形学课程上作为例子学习的源代码，在VC6.0下完美运行，肯定是能用的，各位仔细调试！-Computer graphics courses as an example to study the source code, in perfect running under VC6.0 certainly can, and you carefully debugging!

此源码包含对图像进行二值化、灰度变换、投影以及图像的灰度直方图显示。-This source contains a binary image, gray-scale transformation, projection and image histogram display.

labview-display in tow channel

使用C语言实现整数小波S+P变换和算术编码-use C language S P integral wavelet transform and arithmetic coding

（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:

SIFT特征提取算法的matlab实现，使用matlab和c的混合编程-SIFT feature extraction algorithm matlab realize, the use of matlab and c mixed programming

提供强大的图像处理功能，完全源代码公开， 包括旋转，放大，缩小，自动校正，选择范围，裁剪，自动去除黑边，镜像等等功能。提供技术支持，最适合应用于扫描后的图像处理 开发本控件原本就是应用于扫描后的图像处，方便使用-provide a powerful image processing functions, complete source code is open, including rotating, zooming, narrow, automatic calibration choice, cutting, automatic black border removal, image and so on. Provide technical support, Scanning the most suitable for the development of the Image Processing Control was originally applied to the scanned images, ease of use

SIFT算法C语言原程序,有需要的可以下载了,好东西哦!-sciences algorithm C language program, the need to be downloaded, the good stuff!