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