#include <iostream>

#include <opencv2/core/core.hpp>

#include <opencv2/imgproc/imgproc.hpp>

#include <opencv2/highgui/highgui.hpp>

using namespace cv;

int main()

{

Mat gray_img = imread("lena.tif", 0);

if (!gray_img.data) return -1; 

// 고정 임계 값 처리

Mat bin_img, bininv_img, trunc_img, tozero_img, tozeroinv_img;

// 입력 이미지 출력 이미지, 임계 값, maxVal, 임계 값 처리 방법

threshold(gray_img, bin_img, 0, 255, THRESH_BINARY | THRESH_OTSU);

threshold(gray_img, bininv_img, 0, 255, THRESH_BINARY_INV | THRESH_OTSU);

threshold(gray_img, trunc_img, 0, 255, THRESH_TRUNC | THRESH_OTSU);

threshold(gray_img, tozero_img, 0, 255, THRESH_TOZERO | THRESH_OTSU);

threshold(gray_img, tozeroinv_img, 0, 255, THRESH_TOZERO_INV | THRESH_OTSU);

// 적응적인 임계 값 처리

Mat adaptive_img;

// 입력 이미지 출력 이미지 maxVal, 임계 값 결정 방법, 임계 값 처리 방법, blockSize, C

adaptiveThreshold (gray_img, adaptive_img, 255, ADAPTIVE_THRESH_GAUSSIAN_C, THRESH_BINARY, 7, 8);

// 결과 이​​미지보기

namedWindow("Binary",CV_WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO);

namedWindow("Binary Inv",CV_WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO);

namedWindow("Trunc",CV_WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO);

namedWindow("ToZero",CV_WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO);

namedWindow("ToZero Inv",CV_WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO);

namedWindow("Adaptive",CV_WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO);

imshow("Binary",bin_img);

imshow("Binary Inv",bininv_img);

imshow("Trunc",trunc_img);

imshow("ToZero",tozero_img);

imshow("ToZero Inv",tozeroinv_img);

imshow("Adaptive",adaptive_img);

waitKey(0);

return 0;

}