opencv：全局阈值

图像的二值化分割，最重要的就是计算阈值

阈值的计算方法很多，基本分为两类，全局阈值与自适应阈值

OTSU、Triangle

#include <opencv2/opencv.hpp>

#include <iostream>

using namespace cv;

using namespace std;

int main(int argc, char** argv)

{

    Mat src = imread("f:/images/shuang001.jpg");

    if (src.empty())

    {

        printf("Could not find the image!\n");

        return -1;

    }

    namedWindow("input", WINDOW_AUTOSIZE);

    imshow("input", src);

    Mat gray, binary;

    cvtColor(src, gray, COLOR_BGR2GRAY);

    imshow("gray", gray);

    // 均值分割

    Scalar m = mean(gray);

    printf("means: %.2f\n", m[0]);

    threshold(gray, binary, m[0], 255, THRESH_BINARY);

    imshow("binary", binary);

    // 直方图

    threshold(gray, binary, 0, 255, THRESH_BINARY | THRESH_OTSU);

    imshow("THRESH_OTSU", binary);

    threshold(gray, binary, 0, 255, THRESH_BINARY | THRESH_TRIANGLE);

    imshow("THRESH_TRIANGLE", binary);

    waitKey(0);

    destroyAllWindows();

    return 0;

}

巴特西

opencv：全局阈值

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