在Android开发图像处理APP中，经常会将Bitmap传到JNI中，使用OpenCV等工具处理后直接将Bitmap返回到Java调用层作输出显示，因此该源码提供了解决方案。 参考地址：https://blog.csdn.net/qq_39312146/article/details/127781165

Ubuntu20.04安装opencv4.4.0+opencv-contrib4.4.0 缺失文件

主要是关于opencv的基本操作：（读取、保存、展示、裁剪、获取图像类型等）、图像阈值处理、图像平滑处理、形态学操作、图像梯度计算、边缘检测、图像金字塔：高斯金字塔喝和拉普拉斯金字塔、傅里叶变换等 适用初学opencv了解opencv的人

视频稳定 使用opencv对实时视频进行视频稳定

opencv3.4.1测试小例子

# OpenCV-MinGW-Build MinGW version of OpenCV compiled on Windows. ## [OpenCV 3.4.1](https://github.com/huihut/OpenCV-MinGW-Build/tree/OpenCV-3.4.1) ``` git clone -b OpenCV-3.4.1 git@github.com:huihut/OpenCV-MinGW-Build.git ``` ## [OpenCV 3.3.1](https://github.com/huihut/OpenCV-MinGW-Build/tree/OpenCV-3.3.1) ``` git clone -b OpenCV-3.3.1 git@github.com:huihut/OpenCV-MinGW-Build.git ``` ## Compiling Environment * Windows-10-64bit * MinGW-5.3.0-32bit * CMake-3.9.2 ## How to compile OpenCV * [wiki.qt . How to setup Qt and openCV on Windows](https://wiki.qt.io/How_to_setup_Qt_and_openCV_on_Windows) * [blog.huihut . OpenCV使用CMake和MinGW的编译安装及其在Qt配置运行](https://blog.huihut.com/2017/12/03/CompiledOpenCVRunInQt/) ## Using OpenCV in Qt Add OpenCV library file and include path to Qt `.pro` file. * My version of OpenCV : `OpenCV 3.3.1` * My OpenCV path : `E:\OpenCV_3.3.1\OpenCV-MinGW-Build` So the configuration is as follows (**You need to modify it according to your OpenCV.**) : ``` win32 { INCLUDEPATH += E:\OpenCV_3.3.1\OpenCV-MinGW-Build\include LIBS += E:\OpenCV_3.3.1\OpenCV-MinGW-Build\bin\libopencv_*.dll } ``` or ``` win32 { INCLUDEPATH += E:\OpenCV_3.3.1\OpenCV-MinGW-Build\include LIBS += -LE:\OpenCV_3.3.1\OpenCV-MinGW-Build\bin \ -llibopencv_calib3d331 \ -llibopencv_core331 \ -llibopencv_dnn331 \ -llibopencv_features2d331 \ -llibopencv_flann331 \ -llibopencv_highgui331 \ -llibopencv_imgcodecs331 \ -llibopencv_imgproc331 \ -llibopencv_ml331 \ -llibopencv_objdetect331 \ -llibopencv_photo331 \ -llibopencv_shape331 \ -llibopencv_stitching331 \ -llibopencv_superres331 \ -llibopencv_video331 \ -llibopencv_videoio331 \ -llibopencv_videostab331 } ```

https://blog.csdn.net/weixin_43493903/article/details/126446523 学习Halcon的HSmartWindowControl窗口控件，用WPF和Opencv仿照实现。

Python-opencv 扫描图片或者视频流，检测出车牌号，并把车牌号保存下来。

windows系统下C++调用opencv获取本地摄像头图像，进行皮肤识别，并画出结果。包含源码和可执行程序。如果需要重新编译，需要在工程里面配置opencv环境，该压缩包里不包含opencv，该压缩包测试使用的是opencv320版本，其他版本也可以，需要在工程里配置环境。

用cmake组织opencv源码并编译时，需要联网下载ffmpeg和ippicv，通常会下载失败，需要手动下载 这里将资源打包，解压后只需要替换对应文件夹即可