opencv_ex11-讀取圖檔時轉灰階IMREAD_GRAYSCALE、可調門閥值動態灰階轉二值化threshold、形態學操作morphologyEx
opencv_ex11-讀取圖檔時轉灰階IMREAD_GRAYSCALE、可調門閥值動態灰階轉二值化threshold、形態學操作morphologyEx
GITHUB: https://github.com/jash-git/CPP_opencv249_ex
形態學操作種類:
CV_MOP_OPEN:先腐蝕後膨脹-可以去掉小的對象，假設對像是前景色，背景是黑色
CV_MOP_CLOSE:先膨脹後腐蝕-可以填充小的洞（fill hole），假設對像是前景色，背景是黑色
CV_MOP_GRADIENT:膨脹減去腐蝕-又稱為基本梯度（其它還包括-內部梯度、方向梯度）
CV_MOP_TOPHAT:頂帽 是原圖像與開操作之間的差值圖像
CV_MOP_BLACKHAT:黑帽 是閉操作圖像與源圖像的差值圖像
心得:對人像而言-只有CV_MOP_GRADIENT比較有用,size(3,3)
#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
Mat src1;//threshold
Mat dst01,dst02,dst03,dst04,dst05;
char OUTPUT_WIN01[] = "Lena_BINARY";
char OUTPUT_WIN02[] = "CV_MOP_OPEN";
char OUTPUT_WIN03[] = "CV_MOP_CLOSE";
char OUTPUT_WIN04[] = "CV_MOP_GRADIENT";
char OUTPUT_WIN05[] = "CV_MOP_TOPHAT";
char OUTPUT_WIN06[] = "CV_MOP_BLACKHAT";
int element_size = 120;
int max_size = 255;
void CallBack_Threshold(int, void*);
void Pause()
{
printf("Press Enter key to continue...");
fgetc(stdin);
}
int main()
{
src = imread("bgImage.jpg",IMREAD_GRAYSCALE);
if (!src.data)
{
printf("could not load image...\n");
}
else
{
namedWindow("Lena_original", CV_WINDOW_AUTOSIZE);
imshow("Lena_original", src);
namedWindow(OUTPUT_WIN01, CV_WINDOW_AUTOSIZE);
createTrackbar("Element Size :", OUTPUT_WIN01, &element_size, max_size, CallBack_Threshold);
CallBack_Threshold(0, 0);
}
waitKey(0);
return 0;
}
void CallBack_Threshold(int, void*) {
int s = element_size;
threshold(src,src1,s,255,THRESH_BINARY);//設定門閥值灰階轉二值化 < s->0, > s->255
imshow(OUTPUT_WIN01, src1);
Mat kernel = getStructuringElement(MORPH_RECT, Size(11, 11), Point(-1, -1));//Size內數字越大，運算遮罩越大(腐蝕或膨脹越明顯)
namedWindow(OUTPUT_WIN02, CV_WINDOW_AUTOSIZE);
morphologyEx(src1, dst01, CV_MOP_OPEN, kernel);
imshow(OUTPUT_WIN02, dst01);
namedWindow(OUTPUT_WIN03, CV_WINDOW_AUTOSIZE);
morphologyEx(src1, dst02, CV_MOP_CLOSE, kernel);
imshow(OUTPUT_WIN03, dst02);
namedWindow(OUTPUT_WIN04, CV_WINDOW_AUTOSIZE);
morphologyEx(src1, dst03, CV_MOP_GRADIENT, kernel);
imshow(OUTPUT_WIN04, dst03);
namedWindow(OUTPUT_WIN05, CV_WINDOW_AUTOSIZE);
morphologyEx(src1, dst04, CV_MOP_TOPHAT, kernel);
imshow(OUTPUT_WIN05, dst04);
namedWindow(OUTPUT_WIN06, CV_WINDOW_AUTOSIZE);
morphologyEx(src1, dst05, CV_MOP_BLACKHAT, kernel);
imshow(OUTPUT_WIN06, dst05);
return;
}