014-Opencv笔记-基本阈值操作

2020-03-19  本文已影响0人  赌二八定律
阈值类型一阈值二值化(threshold binary)
阈值类型一阈值反二值化(threshold binary Inverted)
阈值类型一截断 (truncate)
阈值类型一阈值取零 (threshold to zero)
阈值类型一阈值反取零 (threshold to zero inverted)
#include "pch.h"
#include <opencv2/opencv.hpp>
#include <iostream>
#include <math.h>

using namespace cv;
Mat src, gray_src, dst;
int threshold_value = 127;
int threshold_max = 255;
int type_value = 2;
int type_max = 4;
// 0-THRESH_BINARY
// 1-THRESH_BINARY_INV
// 2-THRESH_TRUNC
// 3-THRESH_TOZERO
// 4-THRESH_TOZERO_INV
const char* output_title = "binary image";
void Threshold_Demo(int, void*);

int main(int argc, char** argv) {
    src = imread("D:/11.jpg");
    if (!src.data) {
        printf("could not load image...\n");
        return -1;
    }
    namedWindow("input image", CV_WINDOW_AUTOSIZE);
    namedWindow(output_title, CV_WINDOW_AUTOSIZE);
    imshow("input image", src);
    
    createTrackbar("Threshold Value:", output_title, &threshold_value, threshold_max, Threshold_Demo);
    createTrackbar("Type Value:", output_title, &type_value, type_max, Threshold_Demo);
    Threshold_Demo(0, 0);

    waitKey(0);
    return 0;
}

void Threshold_Demo(int, void*) {
    cvtColor(src, gray_src, CV_BGR2GRAY);
    threshold(gray_src, dst, threshold_value, threshold_max, type_value);
    imshow(output_title, dst);
}
效果图
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