这是一个基于opencv的sift算法的实现

一个比较全面的图像处理与分析软件源程序,VC++编写.-a more comprehensive image processing and analysis software program, VC prepared.

用中值滤波 的方法，对图像进行前处理 ，主要是将图像进行平滑的处理。对于后续的处理有帮助。-with median filtering method, the image pre-processing, mainly to image smoothing treatment. Regarding the follow-up treatment would be helpful.

模式识别的一些预处理知识源程序，初学者在编制程序时可以参考- Two programs are included in this directory: STK2RAS takes a stroke file as input and converts it into a bit-per-pixel representation (along with some header information, see RASHEADR.H). The output of the STK2RAS program is a .RAS file. The GRID1 program found in this directory is a PM program which takes a .RAS file as input and displays the image. Notice that the GRID1 program uses run length compression. See class RLCX to scale the image.

matlab_基于象素的图像配准程序,很好使用,精度也很高,要用的就下载吧!-matlab_ pixel-based image registration procedures, a very good use, accuracy is also high on the download you want to use!

各种各样的非压缩图像格式（bmp,ppm,pgm）转化源码。-variety of non-compressed image formats (bmp, ppm, pgm) into the source code.

数字图象处理程序,有直方图统计,二值化,伪彩,边缘提取,锐化等功能.-digital image processing procedures, histogram statistics, in 2000 the value of, pseudo-color, edge detection, sharpening, and other functions.

别人的东西，有关KPCA特征提取的，看过了，很好很强大-Other people" s things, the KPCA feature extraction, and seen, very good very strong

基于matlab很经典的图像匹配程序，相信对初学图像处理的人有所帮助-Matlab is based on the classic image registration procedures, trust of the people learning image processing help

应有尽有，图片改变位置，锐化，图像的变换-Everything, pictures, change the location, sharpening,

实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。-simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.