资源列表
RadonAGV
- 此图像处理程序为Radon变换的AGV路径偏差检测，内附应用图片，能够正确工作-This image processing procedures for the Radon transform of the AGV path deviation detection, containing the application images, able to work correctly
AutomaticClassiyfingandMathcingTechnologyof
- 一个很棒的指纹识别的项士论文，上面很详细的介绍了指纹识别的整个过程-A great item with disabilities fingerprint identification papers, the above described in great detail the entire process of fingerprint identification
AutomaticFingerprinIdentificationSystem1
- 项士论文，介绍指纹识别的。。非常有用。。大家下下看。。就知道了-Thesis of a disability on the fingerprint. . Very useful. . We look at the next. . Know
ResearchonAlgorithmofAutoma
- 做毕业设计的首选，指纹识别系统的毕业论文，大家可以参考着用下-Do the design of choice for graduates, the graduation thesis Fingerprint Identification System, we can refer to use under
StudiesonAutomatieFingerPrintIdentifieation
- 好东东。。。设计AFIS（自动指纹识别系统）的。。。希望对大家有用-Dongdong good. . . Design of AFIS (Automated Fingerprint Identification System). . . I hope all of you a useful
digit
- 自己写的matlab源程序，神经网络原理与模式识别上的一个作业题，关于对数字1～9的识别的，用BP神经网络matlab工具箱来做的。-Their own source code written in matlab, neural network theory and pattern recognition operation on a title, with respect to figures 1 to 9 of identification, using BP neural network
shap
- 也是神经网络上的一个例题，自己写的形状识别matlab程序-Neural network is an example, its own written procedures for shape recognition matlab
lunwen
- 是一些关于人脸识别的新论文,子空间,子模式-Some new papers on face recognition, sub-space, sub-model
carcarddetect
- 使用说明 使用时打开此例题目录下pic中的图片，然后依次单击按钮“转”、“1”、“2”、“3”、“4”和“5”，就可以实现精确的车牌定位。 具体步骤 1.24位真彩色->256色灰度图。 2.预处理:中值滤波。 3.二值化:用一个初始阈值T对图像A进行二值化得到二值化图像B。 初始阈值T的确定方法是:选择阈值T=Gmax-(Gmax-Gmin)/3,Gmax和Gmin分别是最高、最低灰度值。 该阈值对不
skindetection
- 肤色检测的程序，可以检测的肤色利用matlab实现-Color detection procedure can detect the color to use matlab to achieve
TrackingaManeuveringTargetUsingInput
- 这是从事数据融合领域的人士，特别是对研究多目标跟踪的认的最新的参考资料。-It is engaged in the field of data fusion, especially the study of the acceptability of multi-target tracking of up-to-date reference materials.
yuanma
- 用VC++编写的程序,实现图像的各种方法的边缘检测 -With VC++ Preparation procedures, the realization of the various methods of image edge detection