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This C++ code splits the Lab image into the separate channels.

#include <iostream>
using namespace std;

#include <opencv2/opencv.hpp>
using namespace cv;
#pragma comment(lib, "opencv_world340.lib")

int main(void)
{
    Mat img = imread("star.png", 1);

    if (img.empty())
    {
        cout << "Could not read image file." << endl;
        return 1;
    }

    Mat Lab;
    Mat Lab_channels[3];

    cvtColor(img, Lab, COLOR_BGR2Lab);

    split(Lab, Lab_channels);

    threshold(Lab_channels[0], Lab_channels[0], 127, 255, THRESH_OTSU);

    return 0;
}

This C++ code splits the Lab image into the separate channels.

#include <iostream>
using namespace std;

#include <opencv2/opencv.hpp>
using namespace cv;
#pragma comment(lib, "opencv_world340.lib")

int main(void)
{
    Mat img = imread("star.png", 1);

    if (img.empty())
    {
        cout << "Could not read image file." << endl;
        return 1;
    }

    Mat Lab;
    Mat Lab_channels[3];

    cvtColor(img, Lab, COLOR_BGR2Lab);

    split(Lab, Lab_channels);

    threshold(Lab_channels[0], Lab_channels[0], 127, 255, THRESH_OTSU);

    return 0;
}

#include <iostream>
using namespace std;

#include <opencv2/opencv.hpp>
using namespace cv;
#pragma comment(lib, "opencv_world340.lib")

int main(void)
{
    Mat img = imread("star.png", 1);

    if (img.empty())
    {
        cout << "Could not read image file." << endl;
        return 1;
    }

    Mat Lab;
    Mat Lab_channel_0;

    cvtColor(img, Lab, COLOR_BGR2Lab);

    extractChannel(Lab, Lab_channel_0, 0);

    threshold(Lab_channel_0, Lab_channel_0, 127, 255, THRESH_OTSU);

    return 0;
}

This C++ code splits the Lab image into the separate channels.

#include <iostream>
using namespace std;

#include <opencv2/opencv.hpp>
using namespace cv;
#pragma comment(lib, "opencv_world340.lib")

int main(void)
{
    Mat img = imread("star.png", 1);

    if (img.empty())
    {
        cout << "Could not read image file." << endl;
        return 1;
    }

    Mat Lab;
    Mat Lab_channels[3];

    cvtColor(img, Lab, COLOR_BGR2Lab);

    split(Lab, Lab_channels);

    threshold(Lab_channels[0], Lab_channels[0], 127, 255, THRESH_OTSU);

    return 0;
}

This C++ code uses extractChannel extractChannel to get just the first channel (channel 0).

#include <iostream>
using namespace std;

#include <opencv2/opencv.hpp>
using namespace cv;
#pragma comment(lib, "opencv_world340.lib")

int main(void)
{
    Mat img = imread("star.png", 1);

    if (img.empty())
    {
        cout << "Could not read image file." << endl;
        return 1;
    }

    Mat Lab;
    Mat Lab_channel_0;

    cvtColor(img, Lab, COLOR_BGR2Lab);

    extractChannel(Lab, Lab_channel_0, 0);

    threshold(Lab_channel_0, Lab_channel_0, 127, 255, THRESH_OTSU);

    return 0;
}