本文介绍了OpenCV中各个核心模块的功能与用途，包括传统C风格的数据结构与运算、C++风格的图像处理函数、机器学习算法、特征追踪、目标检测等。了解这些模块有助于开发者更高效地使用OpenCV进行计算机视觉项目的开发。
本文引用于 Learning Opencv 2th；
include “opencv2/core/core_c.h”
Old C data structures and arithmetic routines.
include “opencv2/core/core.hpp”
New C++ data structures and arithmetic routines.
include “opencv2/flann/miniflann.hpp”
Approximate nearest neighbor matching functions. (Mostly for internal use)
include “opencv2/imgproc/imgproc_c.h”
Old C image processing functions.
include “opencv2/imgproc/imgproc.hpp”
New C++ image processing functions.
include “opencv2/video/photo.hpp”
Algorithms specific to handling and restoring photographs.
include “opencv2/video/video.hpp”
Video tracking and background segmentation routines.
include “opencv2/features2d/features2d.hpp”
Two-dimensional feature tracking support.
include “opencv2/objdetect/objdetect.hpp”
Cascade face detector; latent SVM; HoG; planar patch detector.
include “opencv2/calib3d/calib3d.hpp”
Calibration and stereo.
include “opencv2/ml/ml.hpp”
Machine learning: clustering, pattern recognition.
include “opencv2/highgui/highgui_c.h”
Old C image display, sliders, mouse interaction, I/O.
include “opencv2/highgui/highgui.hpp”
New C++ image display, sliders, buttons, mouse, I/O.
include “opencv2/contrib/contrib.hpp”
User-contributed code: flesh detection, fuzzy mean-shift tracking, spin images, self-similar features.
You may use the include file opencv.hpp to include any and every possible OpenCV function but, since it
includes everything, it will cause compile time to be slower. If you are only using, say, image processing
functions, compile time will be faster if you only include opencv2/imgproc/imgproc.hpp.
扫一扫
2041
被折叠的 条评论
为什么被折叠?
到【灌水乐园】发言
