opencv_ex14-圖像放大pyrUp、彩色轉灰階cvtColor、可調門閥值動態灰階轉二值化threshold(THRESH_TRIANGLE 參數的應用)

opencv_ex14-圖像放大pyrUp、彩色轉灰階cvtColor、可調門閥值動態灰階轉二值化threshold(THRESH_TRIANGLE 參數的應用)

opencv_ex14-圖像放大pyrUp、彩色轉灰階cvtColor、可調門閥值動態灰階轉二值化threshold(THRESH_TRIANGLE 參數的應用)


GITHUB:https://github.com/jash-git/CPP_opencv249_ex

    
    心得:
        THRESH_TRIANGLE 在249沒有這個參數,但是可以直接用16這個數值取代

        type_value=0就會是opencv_ex11的效果(傳統書本教的二值化)

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/ml/ml.hpp>

#include <iostream>
#include <cstdio>

#include <sys/timeb.h>
#if defined(WIN32)
    #define  TIMEB    _timeb
    #define  ftime    _ftime
    typedef __int64 TIME_T;
#else
    #define TIMEB timeb
    typedef long long TIME_T;
#endif

using namespace cv;
using namespace std;
Mat src;//input image

int threshold_value = 127;
int threshold_max = 255;
int type_value = 2;
int type_max = 4;
const char* output_title = "binary image";
Mat gray_src, dst;
void Threshold_Demo(int, void*);

void Pause()
{
    printf("Press Enter key to continue...");
    fgetc(stdin);
}
int main()
{
    Mat input;
	input = imread("Lena_original.jpg");
	if (!input.data)
    {
		printf("could not load image...\n");
	}
    else
    {
        namedWindow("color_input", CV_WINDOW_AUTOSIZE);
        //©ñ¤j
        pyrUp(input, src, Size(input.cols*2, input.rows * 2));
        imshow("color_input", src);

        namedWindow(output_title, CV_WINDOW_AUTOSIZE);
        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);
    Pause();
    return 0;
}

void Threshold_Demo(int, void*) {
	cvtColor(src, gray_src, CV_BGR2GRAY);
	threshold(gray_src, dst, threshold_value, 255, 16 | type_value);//THRESH_TRIANGLE=16 ~ https://blog.csdn.net/foryouslgme/article/details/51803039
	imshow(output_title, dst);
}

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