opencv meanshift c++

OpenCV is an open-source computer vision library that includes various algorithms and tools for image and video processing. Mean shift is a clustering algorithm used for image segmentation and object tracking. In OpenCV, Mean Shift is implemented as a function that can be used in C++.

The function is cv::pyrMeanShiftFiltering, which applies mean shift filtering to an image to segment it into regions of similar color and texture. The function takes in the input image, the spatial window size, and the color window size as input parameters. It returns the segmented image.

Here is an example of how to use the cv::pyrMeanShiftFiltering function in C++:

#include <opencv2/opencv.hpp>

int main()
{
    // Load input image
    cv::Mat inputImage = cv::imread("inputImage.jpg");

    // Apply mean shift filtering
    cv::Mat segmentedImage;
    cv::pyrMeanShiftFiltering(inputImage, segmentedImage, 10, 10);

    // Display segmented image
    cv::imshow("Segmented Image", segmentedImage);
    cv::waitKey(0);

    return 0;
}

In this example, the cv::pyrMeanShiftFiltering function is used to segment the input image with a spatial window size and a color window size of 10. The segmented image is then displayed using OpenCV's imshow function.