Single frame of this process and are read into a gray value, the reference for b...

数据图像技术的小报告-data images of small report

fvs_enhancer：指纹增强程序，描述了如何使用该库增强指纹图像。原图像和目标图 像都是位图。 fvs_direction：描述了如何提取方向图。输入图像必须是归一化的图像，这样才能 有较好的效果。输出图像覆盖于输入图像之上。 fvs_createtestimages：该程序用来产生调试过程中可能会用到的一些位图图像，这 些图像是不同角度和不同间隔的条纹。产生图像的文件名命名方式如下： testimgSSSDDD.bmp 其中，SSS代表条纹间隔（像素个数），DDD代表方向的角度。 fvs_thinner：描述了怎样细化一个指纹图像。细化后的图像尽可能的代表了指纹的 脊线。 fvs_minutia：显示了如何从细化后的指纹图像中获得细节点集合。这一部分目前做 的效果不好，提取出的伪细节点太多。 fvs_mask：计算有效的指纹区域（剔除非指纹区域以及模糊指纹区域）。 include目录： 包含了头文件。-fvs_enhancer : fingerprint enhancement procedures, a description of how to enhance the use of the fingerprint image. The original image and objectives are bitmap images. Fvs_direction : describes how to extract the direction of the map. Input image must be a normalized image, in order to have better results. Image output coverage in the input image above. Fvs_createtestimages : The procedure used to produce debugging process may be used in some of Bitmap images, These images are different angles and different spacing of the fringes. Images produced a

贝赛尔纽绘图的源代码，欢迎使用！-Beisaierniu mapping the source code, welcomed the use!

白平衡算法，通过HSV模型对图像进行三通道灰度分析，得到图像的白平衡，可用于不均匀照明下的图像校正。-White balance algorithm, through the HSV model is three-channel gray-scale image analysis, the white balance to be images that can be used under uneven lighting image correction.

可以实现线段的裁减 ，对初学者有所帮助-segment can be achieved reductions to help beginners

AVcapture源码，视频压缩采集，MPEG4压缩-AVcapture source, video capture compression, MPEG4 compression

目前该手写体识别系统主要分为 预处理模块： 主要包括训练数据和识别数据的读取，归一化，二值化 特征提取模块：主要包括笔划方向特征和网格密度特征，还可以根据对识别率的要求继续增加其他特征 识别（分类器）模块：主要包括SVM方法和BP神经网络的方法，其中SVM方法的识别率较高，SVM＋网格密度特征， 在小字符集情况下，达到了识别率97％以上 采用OO思想编写，适合做二次开发-currently the handwriting recognition system consists of pretreatment modules : including training data and identification data read, in one, two values of feature extraction module : the main characteristics of the direction including strokes and grid density characteristics, but also based on the identification of the requirements to continue to increase other identification ( Categories) modules : include SVM methods and BP networks, which SVM method for the identification of high SVM+ mesh density characteristics, in a small set of characters to achieve a recognition rate of over 97% using OO ideological preparation, suitable for secondary development

是用ObjectARX开发AutoCAD初学者很好的例子,说明如何从简单的开发到复杂的-is ObjectARX AutoCAD beginners very good example on how to develop from simple to complex

e book for statistical signal processing estimation and detection.

自己编写的图形库。当时用的是tasm-their graphics prepared by the bank. Then use the Tasm