阈值化

一、固定阈值化Threshold()函数

double threshold( InputArray src, OutputArray dst,
                  double thresh, double maxval, int type );

二、自适应阈值操作:adaptiveThreshold()函数

void adaptiveThreshold( InputArray src, OutputArray dst,
                                     double maxValue, int adaptiveMethod,
                                     int thresholdType, int blockSize, double C );

　

#include<opencv2/opencv.hpp>
#include<iostream>

using namespace cv;
using namespace std;

#define WINDOW_NAME "【程序窗口】"

int g_nThresholdValue = 100;
int g_nThresholdType = 3;
Mat g_srcImage, g_grayImage, g_dstImage;

void on_Threshold(int, void *);

int main(int argc, char** argv) {
    g_srcImage = imread("C:\Users\Nelsoner\Desktop\Camera Roll\05.jpg");

    //存留一份源图的灰度图
    cvtColor(g_srcImage, g_grayImage, COLOR_RGB2GRAY);
        
    namedWindow(WINDOW_NAME);
    imshow(WINDOW_NAME, g_srcImage);

    createTrackbar("模式", WINDOW_NAME, &g_nThresholdType, 4, on_Threshold);
    createTrackbar("参数值", WINDOW_NAME, &g_nThresholdValue, 255, on_Threshold);
    on_Threshold(0, 0);

    waitKey(0);
    return 0;
}

void on_Threshold(int, void *) {
    threshold(g_grayImage, g_dstImage, g_nThresholdValue, 255, g_nThresholdType);
    imshow(WINDOW_NAME, g_dstImage);
}