bmp

一款VC++图像开场加载效果，向大家演示了几种图像装载的特效实现的方法，比如扫描显示、滑动显示、渐入显示和马赛克显示等，大家在使用一些幻灯片软件的时候，经学会看到类似的效果，如果你有一定的VC++基础，你可以借鉴一下本效果的具体方法，再次扩展，可以制作出一款带特效的图像查看器(The opening loading effect of a VC++ image to demonstrate the effects achieved in several image loading, such as scanning, slide show, getting into the display and mosaic display, we learn to look at some slides software to similar effect, if you have certain VC++ basis, you can learn about the effects of specific methods, extended again, can create the image of a band effects Viewer)

vb仿大漠屏幕找图，速度极快 屏幕找色点 图像查找visualbasic vb6找图(VB,VB6,VISUAL BASICK ,FIND PICTURE ,QUICK SEARCH IMAGE.SEARCH PICTURE)

简单的图形文字识别软件，希望大家喜欢我的分享，谢谢(Simple graphical text recognition software, I hope you like my share, thank you)

灰度图生成程序 可以生成BMP/JPG格式的灰度图 大家可以随便使用下载(Grayscale generator can generate BMP/JPG format, you can easily use the download grayscale)

一个很不错的指纹分析算法源代码，可以从采集的指纹图片中进行二次黑白化，平滑图像处理。可以对指纹图像特征信息提取，比对，以轮廓显示以及色彩覆膜特显等技术算法。主要的分析速度很快，值得学习的算法。要在指纹信息处理中比较不错，本站隆重推荐。(A very good fingerprint analysis algorithm source code, from the collection of fingerprint images, the second black and white, smooth image processing. Fingerprint image feature information extraction, compared to the contour display and color coated special significant technical algorithm. Analysis fast, it is worth learning algorithm. Fingerprint information processing site is highly recommended.)

MC算法实现CT医学图像的三维重建，面绘制技术(MC algorithm CT medical image reconstruction, surface rendering technology)

基于OPCV的blob搜索算法，图像处理经典算法(OPCV the blob-based search algorithm, image processing, the classical algorithm)

改进经典的otsu算法，使其适应目标所占图像比例较小的情况，使图像分割方法更具有自适应性 (Improve classic otsu algorithm to achieve image segmentation)

说明：  求矩阵的特征值和特征向量，使用c语言编程(Matrix eigenvalues and eigenvectors, c language programming)

模式识别经典方法之一 K均值算法（KMeans）进行图像分割 有完善的图形界面 可以通过柱状图的形式动态展示聚类程序(One of the classical method of pattern recognition K means algorithm (KMeans) for image segmentation has improved graphical interface can be dynamically displayed in the form of histogram clustering procedure)