把级联信息转化成xml文档，C直接写好的exe

图象显示的VC++源码程序，希望对大家有所帮助，也希望尽快的成为会员，谢谢！-Images displayed VC++ Source program, and they hope to be helpful to everyone, and hope to become a member as soon as possible, thank you!

使用VC写的SIFT程序，并能够将转换前后的两张图片的关键点进行比对-SIFT programs written using the VC, and be able to convert the two images before and after the key points of comparison

数字图像处理最基本的一些算法，包括图像的Hough变换.维纳滤波.拉普拉斯高斯边缘检测等，是txt格式的源文件。-Digital image processing some of the most basic algorithm, including the image of the Hough transform. Wiener filter. Laplacian of Gaussian edge detection and so on, are the source txt file format.

用vc编写的一个canny边缘检验算子 很好用 效果还可以 -vc prepared with a canny operator Edge good test results can be used

先对图像进行开闭滤波，再使用分水岭分割图像，然后使用FCM对初始分割进行聚类，得到最终分割结果，对医学图像效果比较好。-First opening and closing image filtering, re-use watershed segmentation images, then use the FCM clustering of the initial partition, the final segmentation results, the medical image is better.

程序为实现RANSAC算法，通过阅读该程序后，对学习RANSAC非常有帮助.-Procedures for the realization of RANSAC algorithm, by reading the program after learning RANSAC very helpful.

图像模式识别―VC++技术实现，杨淑莹编著，可实现图像聚类-Image Pattern Recognition-VC++ Technology, edited by杨淑莹, achievable image clustering

Description: Adaptive SAR ATR Problem Set (AdaptSAPS) Version 1.0

用VB进行彩色图象灰图化处理,有完整源码！VB6-VB gray color map image processing, a complete source! VB6

30个图像处理的VC++ 源代码，包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色, 方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化（边缘检测）, 离散余弦变换,亮度增减,逆滤波处理,取对数,取指数,梯度锐化,图象处理,图像镜像, 图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡.-30 image processing VC++ Source code, including 256 colors to grayscale, Hough transform, image_j1, PCA, Walsh transform, contrast stretching, binarization transformation, anti-color, box encoding, Fourier Transform , Gaussian smoothing, gray balance, mean filter, Laplacian sharpening (edge detection), discrete cosine transform, the brightness increases and decreases in inverse filtering deal, check on the number of check index, the gradient sharpening, image processing, mirror image, image translation, image scaling, image thinning, image rotation, Wiener filtering treatment using Canny edge extraction operator, threshold transform, histogram equalization.