have a role in particle physics, a wholly prepared CB

GDI二维图形操作，平移放缩等-GDI 2D graphics operations, such as translation Zooming

针对无干扰及非常规则的验证码，使用了简单取模+最高匹配率算法完成的简易识别程序-For non-intrusive and very Verification Code rules, the use of a simple modulus+ The highest matching rate of completion of a simple algorithm for the identification procedures

单幅图像基础上的交通事故现场三维重建的硕士论文-3d

抢答器的电路图,随便传下，只为需要，随便看看，仅供参考。-qiangdaqi de dianlutu suibian chuan xia

一个vc游戏程序， 随机画图-a vc Games, random drawing

vowal detection in speech

dct.pdf中介绍的公式非常经典，但其中的一段源程序有一些错误，但在C文件dctmatrix.c有了修正。 dctmatrix.c给出了如何定标DCT系数。 dctmatrix.c中，FIX_DCTMTX_2[Rows][Columns]采用Q11定标,FIX_DCTMTX采用Q15定标。 DCTMTX_2[Rows][Columns]*2=DCTMTX[Rows][Columns]-dct.pdf formula described in a very classic, but a section of source code has some mistakes, but in C has been amended dctmatrix.c document. How dctmatrix.c given DCT coefficient calibration. dctmatrix.c in, FIX_DCTMTX_2 [Rows] [Columns] using Q11 calibration, FIX_DCTMTX calibration using Q15. DCTMTX_2 [Rows] [Columns]* 2 = DCTMTX [Rows] [Columns]

很好的昙花图片，压缩包中有 21 个图片。-nice picture of night-blooming cereus, 21 pictures in the compression package.

图像的变化，简单几何变换，非整数倍缩放，图像位置变化。-Change the image, a simple geometric transformation, non-integer multiple zoom, image position changes.

总述：本代码属于机器视觉研究对一些传统方法进行了演示和突破（颜色的辩认） 建议：{强烈建议用程序打开“ 视觉分析色度分析图1.bmp”而后按“视觉分析颜色分析软件1-7”} 局限：但本演示只针对24位位图本代码包含两个部分1、视觉分析 (代码的主要思路[包括一些使用方法、结论图象、程序机制(使用ＡＵＴＯＣＡＤ打开分析观看)、研究结论（matlab编写）])2、forimage(原代码vc7.0编写)-Overview : This code is machine vision research on traditional methods of presentation and breakthroughs (color identification) : (strongly recommended that the procedures to open the "visual analysis color analysis of 1.bmp" then by the "visual analysis color analysis software 1-7 ") limitations : the demonstration but only 24 against the bitmap code consists of two parts one, visual analysis (code the main ideas [including the use of methodology, conclusions image, procedural mechanisms (open analysis of the use of AutoCAD to watch), the conclusion of the study (prepared Matlab)]) 2, forimage (formerly code vc7.0 preparation)