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); }