资源列表
Source
- ARToolKit应用实例，显示稳定的初音模型的源代码。可切换多种模型。-ARToolKit application examples, showing steady Hatsune model source code. Can switch between multiple models.
main
- 图片通过对比图像库找到图片中的动物并识别出来。-By comparing the image library to find pictures of animals and identified.
PlateIdentify
- opencv,C++,数字图像处理，车牌识别系统-opencv, C++, digital image processing, license plate recognition system
CarShapeIdentify
- opencv，C++，数字图像处理，车型识别系统-opencv, C++, digital image processing, vehicle identification system
FingerMatch
- opencv.c++,数字图像处理，指纹提取与识别-opencv.c++, digital image processing, fingerprint extraction and recognition
guidedfilter_vc
- 本文件为引导滤波算法的程序文件，为VC++编码，根据何凯明博士的文章《Guided Image Filtering》讲述的原理编写而成，具有很好的边缘保持特性，是作为作者在前一篇讲解去污算法的文章《Single Image Haze Removal Using Dark Channel Prior》的补充，当然也可以用于其他的滤波算法中-This document is a boot file filtering algorithm for VC++ coding, according to D
document_for_pic_thin
- 基于Opencv和VC6.0的图像细化，可以用来提取手势骨骼，已经处理成子函数，可直接调用。给做手势识别的朋友一些参考-Based on Opencv and VC6.0 image thinning, gestures can be used to extract the skeleton has been processed into a subroutine can be called directly. Gesture recognition to a friend some refer
cannyPostu
- canny算子结合ostu自适应阈值调整，用于边缘提取，-ostu canny operator combines adaptive threshold adjustment for edge detection,
Calibration
- 实现相机标定与畸变矫正，主要针对鱼眼镜头畸变的校正。源码中需要将int t_main修改为int main，其余均有解释，可按需求更改。-Achieve camera calibration and distortion correction, mainly for correcting fisheye distortion. Source code need to be modified to int t_main int main, the rest are explained, accor
FIRE
- 一种基于自适应阈值的先进火焰颜色算法，根据不同亮度情况选取不同模型，效果非常好。-An algorithm based on advanced adaptive threshold flame color, depending on the brightness select a different model, the effect is very good.
QT-OpenCv-
- 在window下利用OPencv来实现QT的视频监控，也可以利用这个代码进行采集图片，处理等后续工作-In the window to achieve the use of OPencv QT video surveillance, you can also use this code capture image processing and other follow-up work
hsvhist
- 使用opencv计算hsv颜色空间中h分量以及s分量的直方图，并用二维直方图的形式显示。-Calculated using opencv h hsv color space component and s component histogram and histogram form with two displays.