OpenCV 支持

将相机参数、MEX 文件支持和预置的 MATLAB^® 接口转换为 OpenCV

Computer Vision Toolbox™ Interface for OpenCV in MATLAB 支持包提供以下功能以支持 OpenCV：

MATLAB 函数，用于在 MATLAB 和 OpenCV 格式之间转换计算的相机参数，以用于相机标定。
OpenCV Interface C++ API 支持文件，用于编译 MEX 文件，您可以使用这些 MEX 文件来调用 OpenCV 函数并将 OpenCV C++ 代码集成到 MATLAB 中。该接口不支持图形处理单元 (GPU)。您可以使用基于 MEX 的方法将自定义 OpenCV 函数与 MATLAB 集成。有关基于 MEX 的方法的详细信息，请参阅Build MEX Files for OpenCV Interface。
OpenCV 库的预置 MATLAB 接口，可用于直接从 MATLAB 调用 OpenCV 函数而无需编写 C/C++ 代码。该支持包还提供 MATLAB 函数以在 OpenCV 和 MATLAB 之间来回传递数据。然而，OpenCV 的预置 MATLAB 接口不支持将自定义 OpenCV 函数与 MATLAB 集成。

要使用基于 MEX 的方法和 OpenCV 的预置 MATLAB 接口支持文件，您必须首先下载 Computer Vision Toolbox Interface for OpenCV in MATLAB 支持包。有关如何下载该支持包的信息，请参阅Install and Use Computer Vision Toolbox Interface for OpenCV in MATLAB。

函数

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转换相机参数

`cameraIntrinsicsFromOpenCV`	Convert camera intrinsic parameters from OpenCV to MATLAB (自 R2021b 起)
`cameraIntrinsicsToOpenCV`	Convert camera intrinsic parameters from MATLAB to OpenCV (自 R2021b 起)
`stereoParametersFromOpenCV`	Convert stereo camera parameters from OpenCV to MATLAB (自 R2021b 起)
`stereoParametersToOpenCV`	Convert stereo camera parameters from MATLAB to OpenCV (自 R2021b 起)

适用于 OpenCV 接口的 MEX 工具函数

OpenCV Interface C++ API

`ocvCheckFeaturePointsStruct`	Check that MATLAB struct represents feature points
`ocvStructToKeyPoints`	Convert MATLAB feature points struct to OpenCV `KeyPoint` vector
`ocvKeyPointsToStruct`	Convert OpenCV `KeyPoint` vector to MATLAB struct
`ocvMxArrayToCvRect`	Convert a MATLAB struct representing a rectangle to an OpenCV `CvRect`
`ocvCvRectToMxArray`	Convert OpenCV `CvRect` to a MATLAB struct
`ocvCvBox2DToMxArray`	Convert OpenCV `CvBox2D` to a MATLAB struct
`ocvCvRectToBoundingBox_{DataType}`	Convert `vector<cv::Rect>` to M-by-4 `mxArray` of bounding boxes
`ocvMxArrayToSize_{DataType}`	Convert 2-element `mxArray` to `cv::Size`.
`ocvMxArrayToImage_{DataType}`	Convert column major `mxArray` to row major `cv::Mat` for image
`ocvMxArrayToMat_{DataType}`	Convert column major `mxArray` to row major `cv::Mat` for generic matrix
`ocvMxArrayFromImage_{DataType}`	Convert row major `cv::Mat` to column major `mxArray` for image
`ocvMxArrayFromMat_{DataType}`	Convert row major `cv::Mat` to column major `mxArray` for generic matrix
`ocvMxArrayFromVector_{DataType}`	Convert numeric `vectorT` to `mxArray`
`ocvMxArrayFromPoints2f`	Converts `vector<cv::Point2f>` to `mxArray`

OpenCV Interface C++ API GPU

`ocvMxGpuArrayToGpuMat_{DataType}`	Create `cv::gpu::GpuMat` from `mxArray` containing GPU data.
`ocvMxGpuArrayFromGpuMat_{DataType}`	Create an `mxArray` from `cv::gpu::GpuMat` object

OpenCV 的预置 MATLAB 接口

`createMat`	Create MATLAB interface object for OpenCV `Mat` class (自 R2021b 起)
`createUMat`	Create MATLAB interface object for OpenCV `UMat` class (自 R2021b 起)
`getBasePtr`	Create MATLAB interface object for OpenCV base class (自 R2021b 起)
`getImage`	Read images stored in MATLAB interface object for OpenCV class (自 R2021b 起)
`keyPointsToStruct`	Convert OpenCV `KeyPoints` object to MATLAB structure (自 R2021b 起)
`rectToBbox`	Compute bounding boxes from outputs returned by MATLAB interface object for OpenCV `Rect` class (自 R2021b 起)

支持包安装程序

visionSupportPackages Start Installer to download, install, or uninstall Computer Vision Toolbox data

主题

Install and Use Computer Vision Toolbox Interface for OpenCV in MATLAB
Download and install support package for integrating OpenCV and MATLAB.
Build MEX Files for OpenCV Interface
Create and test MEX- file based OpenCV interface.
Use Prebuilt MATLAB Interface to OpenCV
To call and execute OpenCV functions directly from MATLAB, use the prebuilt MATLAB interface.

精选示例

Perform Edge-Preserving Image Smoothing Using OpenCV in MATLAB

Perform edge-preserving image smoothing by using prebuilt MATLAB® interface to the OpenCV function cv::edgePreservingFilter. In this example, you also use the createMat utility function to define the input and output arrays, and the getImage utility function to read the output image returned by the OpenCV function.

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Subtract Image Background by Using OpenCV in MATLAB

Subtract the background in an image sequence or a video by using the prebuilt MATLAB® interface to the OpenCV function cv::BackgroundSubtractorKNN. In this example, you also use the createMat utility function to define the input and output arrays, and the getImage utility function to read the output image returned by the OpenCV function. The input video must be have a static background and dynamic foreground objects.

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Perform Face Detection by Using OpenCV in MATLAB

Detect faces in an image or video by using prebuilt MATLAB® interface to the OpenCV function cv::CascadeClassifier. This example uses a Harr face detection model that is trained for scale-invariant, frontal face detection. In this example, you also use the createMat utility function to define the input and output arrays, the getImage utility function to read the output image returned by the OpenCV function, and the rectToBbox utility function to convert the face detection output returned by the OpenCV function to bounding box coordinates in MATLAB®.

打开实时脚本