搜索资源列表
LicenseDetectorOfVehicle
- C#环境的车牌认别系统源代码和30张测试图片;本程序对以上的30汽车图片的认别定位分割等准确率达至100%。-C# environment registration identification system source code and 30 test images; The procedures for the above pictures of the 30 vehicle identification such as segmentation positioning accuracy
cgraphdeve
- 这是一个便携式C语言图形开发系统 ,用户可以自行进行试验!-This is a portable C language graphics development system, users can conduct its own test.
tuansheji_system
- 一个功能比较齐全的图案设计系统,vc++测试通过,希望能对大家有用!-a function of a relatively complete system designs, vc test passed, we hope that the useful!
HaarFaceDetect
- 视频监控系统完整源码(本人本科毕业设计),运用帧间差分算法,运用高斯混合模型来实现背景的实时更新,以减少由于环境的变化对检测结果的干扰。-Video Surveillance System integrity of the source code (I graduated from undergraduate design), use interframe difference algorithm, Gaussian mixture model used to achieve the real-
LicensePlate.rar
- Visual C++写的车牌自动识别系统(只完成到车牌定位提取一步,字符的识别没有完成,大家有兴趣可以自己完成),功能包括前期图像处理的各种操作,支持各种颜色的bmp图片,二值化、边缘检测、滤波、平滑、直方图处理等等,测试图片也打包进源码了,Visual C++ Written Automatic Vehicle Identification System (only one step to extract license plate location, character identifica
edge-detection
- 图像边缘检测算法,以达芬奇6437系统实验箱为平台-Image edge detection algorithm to Leonardo da Vinci 6437 system test box as a platform
TE2440-ov9650-drive-code-LINUX
- arm系统LINUX环境下TE2440开发板ov9650 CMOS 摄像头驱动源码及测试程序,在触摸屏上得到实时的视频图像-arm the system LINUX environment TE2440 development board ov9650 CMOS camera driver source code and test procedures, the touch screen get real-time video image
motiontracker
- 本程序采用Matlab编程,可以跟踪运动物体上的颜色特殊点,并根据获得的图像信息,进行视觉计算,给出运动物体的状态信息,如速度,位置。该程序已在多种环境下测试,具有实用,快速等特点,是实验系统中,用来给运动对象定位的有力工具-This procedure using Matlab programming, can track moving objects on the color of the special points, and in accordance with image inform
minipro
- 该系统功能:实现手写识别,能通过对样例库中的数据进行学习,然后能判别、分类新的输入样例。其中包含了Kn近邻算法,贝叶斯参数估计的实现。实现了open test, close test等测试方法。-The system features: realization of handwriting recognition, through the library of sample data for study, and then to identify, classify the new input
guanxue
- 基于LabVIEW的CD_DVD光学头ACT特性测试系统研究,一篇不错的采集文章-LabVIEW based on the CD_DVD optical characteristics of the first ACT test system, a good collection of articles
NeuralrecognitionSystem
- 基于神经网络的文字识别系统 本目录主要包括:文档和两个源代 其中源代码是识别程序的,另一个是矩阵类库的。 已经保存了训练好的网络权值,所以第一次使用识别程序时,可以直接运行Release目录下的可执行文件,然后对图片目录中的测试图片进行读入、识别。当然也可以自行用训练样本训练网络,不过要注意训练样本的选择,否则可能识别率很低。训练样本选择的原则是,尽可能的有代表性,在训练时间不至于太长的情况下训练样本数目尽量多。-Based on neural network characte
sfinge25
- A novel texture-based Automatic Fingerprint Authentication System (AFAS) is proposed. A fingerprint image is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, three sets of invariant moment features, as a kind o
Motion-Detection-System
- 运动检测系统,对视频中的图像进行跟踪检测,里面还有测试图像。-Motion detection system, the image of the video tracking and detection, there is also the test image.
PCA_based-Face-Recognition-System
- 利用主成成分分析PCA对指定图片进行识别。附带测试图片,适合初学者。-Component of the principal component analysis PCA to identify the specified picture. Incidentally test images, suitable for beginners.
cscameradata
- rice大学单像素相机测试系统的测试数据与算法源代码,可用于压缩传感技术的学习与研究。-rice university single-pixel camera test system test data and algorithm source code can be used to compress the learning and research sensing technology.
STC51_TCS3200
- 颜色模块测试系统 可以将通用的颜色模块连接Led屏幕显示RBG参数便于后续程序设置-Color module test system can be connected to a common color module RBG Led screen for easy follow-up procedure to set parameters
lpr-system
- 1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。 2.测试图像存储在当前目录的img下。 3.测试集、训练集、目标向量均存储在img下的文本文件中。-1. Open a picture first and then according to the order gray, binarization, gray stretching, license plate localization, binarization, t
fuseh
- 基于肤色分割和模板验证的人脸检测试验系统,并对该系统采用自制人脸图像数据库进行测试 -Color segmentation and template verification test system is based on face detection and the system uses a homemade facial image for testing
Form1.Designer
- 小学生数学自测系统,可实现加减乘除的运算-test system
test
- 一个简单的人脸识别系统,使用了pca主成分分析,并且使用了余弦距离分类器分类,查看分类的效果-A simple face recognition system, using pca principal component analysis, and the use of the cosine distance classifiers to view classification results