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#0 OpenCV 관련 설정
1. contours2.cpp 관련 OpenCV
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프로그램 설명
floodFill 관련 함수 사용해보자
구성요소와 연결되어있는요소를 채우는것이다
Fills a connected component with the given color.
in case of a grayscale image and floating range src(x′,y′)−loDiff≤src(x,y)≤src(x′,y′)+upDiff in case of a grayscale image and fixed range src(seedPoint.x,seedPoint.y)−loDiff≤src(x,y)≤src(seedPoint.x,seedPoint.y)+upDiff in case of a color image and floating range src(x′,y′)r−loDiffr≤src(x,y)r≤src(x′,y′)r+upDiffr, src(x′,y′)g−loDiffg≤src(x,y)g≤src(x′,y′)g+upDiffg and src(x′,y′)b−loDiffb≤src(x,y)b≤src(x′,y′)b+upDiffb
전체 코드
#include "opencv2/imgproc.hpp"
#include "opencv2/imgcodecs.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include <iostream>
using namespace cv;
using namespace std;
static void help(char** argv)
{
cout << "\nThis program demonstrated the floodFill() function\n"
"Call:\n"
<< argv[0]
<< " [image_name -- Default: fruits.jpg]\n" << endl;
cout << "Hot keys: \n"
"\tESC - quit the program\n"
"\tc - switch color/grayscale mode\n"
"\tm - switch mask mode\n"
"\tr - restore the original image\n"
"\ts - use null-range floodfill\n"
"\tf - use gradient floodfill with fixed(absolute) range\n"
"\tg - use gradient floodfill with floating(relative) range\n"
"\t4 - use 4-connectivity mode\n"
"\t8 - use 8-connectivity mode\n" << endl;
}
Mat image0, image, gray, mask;
int ffillMode = 1;
int loDiff = 20, upDiff = 20;
int connectivity = 4;
int isColor = true;
bool useMask = false;
int newMaskVal = 255;
static void onMouse( int event, int x, int y, int, void* )
{
if( event != EVENT_LBUTTONDOWN )
return;
Point seed = Point(x,y);
int lo = ffillMode == 0 ? 0 : loDiff;
int up = ffillMode == 0 ? 0 : upDiff;
int flags = connectivity + (newMaskVal << 8) +
(ffillMode == 1 ? FLOODFILL_FIXED_RANGE : 0);
int b = (unsigned)theRNG() & 255; //램덤 숫자 가져오기
int g = (unsigned)theRNG() & 255;
int r = (unsigned)theRNG() & 255;
Rect ccomp;
Scalar newVal = isColor ? Scalar(b, g, r) : Scalar(r*0.299 + g*0.587 + b*0.114); //램덤값으로 찍을떄 새로운 색 가져오기
Mat dst = isColor ? image : gray;
int area;
if( useMask )
{
threshold(mask, mask, 1, 128, THRESH_BINARY);
area = floodFill(dst, mask, seed, newVal, &ccomp, Scalar(lo, lo, lo),
Scalar(up, up, up), flags);
imshow( "mask", mask );
}
else
{
area = floodFill(dst, seed, newVal, &ccomp, Scalar(lo, lo, lo),
Scalar(up, up, up), flags);
}
imshow("image", dst);
cout << area << " pixels were repainted\n";
}
int main( int argc, char** argv )
{
cv::CommandLineParser parser (argc, argv,
"{help h | | show help message}{@image|fruits.jpg| input image}"
);
if (parser.has("help"))
{
parser.printMessage();
return 0;
}
string filename = parser.get<string>("@image");
image0 = imread(samples::findFile(filename), 1);
if( image0.empty() )
{
cout << "Image empty\n";
parser.printMessage();
return 0;
}
help(argv);
image0.copyTo(image);
cvtColor(image0, gray, COLOR_BGR2GRAY);
mask.create(image0.rows+2, image0.cols+2, CV_8UC1);
namedWindow( "image", 0 );
createTrackbar( "lo_diff", "image", &loDiff, 255, 0 );
createTrackbar( "up_diff", "image", &upDiff, 255, 0 );
setMouseCallback( "image", onMouse, 0 );
for(;;)
{
imshow("image", isColor ? image : gray);
char c = (char)waitKey(0);
if( c == 27 )
{
cout << "Exiting ...\n";
break;
}
switch( c )
{
case 'c':
if( isColor )
{
cout << "Grayscale mode is set\n";
cvtColor(image0, gray, COLOR_BGR2GRAY);
mask = Scalar::all(0);
isColor = false;
}
else
{
cout << "Color mode is set\n";
image0.copyTo(image);
mask = Scalar::all(0);
isColor = true;
}
break;
case 'm':
if( useMask )
{
destroyWindow( "mask" );
useMask = false;
}
else
{
namedWindow( "mask", 0 );
mask = Scalar::all(0);
imshow("mask", mask);
useMask = true;
}
break;
case 'r':
cout << "Original image is restored\n";
image0.copyTo(image);
cvtColor(image, gray, COLOR_BGR2GRAY);
mask = Scalar::all(0);
break;
case 's':
cout << "Simple floodfill mode is set\n";
ffillMode = 0;
break;
case 'f':
cout << "Fixed Range floodfill mode is set\n";
ffillMode = 1;
break;
case 'g':
cout << "Gradient (floating range) floodfill mode is set\n";
ffillMode = 2;
break;
case '4':
cout << "4-connectivity mode is set\n";
connectivity = 4;
break;
case '8':
cout << "8-connectivity mode is set\n";
connectivity = 8;
break;
}
}
return 0;
}
사용 OpenCV 함수
int floodFill( InputOutputArray image, Point seedPoint, Scalar newVal, CV_OUT Rect* rect = 0, Scalar loDiff = Scalar(), Scalar upDiff = Scalar(), int flags = 4 );
- InputOutputArray image, 입력 이미지
- Point seedPoint, 시작 좌표
- Scalar newVal, 다시 그릴 값
- CV_OUT Rect* rect = 0, Scalar loDiff = Scalar(), 현재 관찰된 픽셀과 구성 요소에 속하는 이웃중 하나 또는 구성요소에 추가되는 시드 픽셀 간의 최대 밝기/색상 차이 (아래로) Scalar upDiff = Scalar(),현재 관찰된 픽셀과 구성 요소에 속하는 이웃중 하나 또는 구성요소에 추가되는 시드 픽셀 간의 최대 밝기/색상 차이 (위로) int flags = 4 (이웃한 갯수 가져오기)
프로그램 설명
"\tESC - quit the program\n"
"\tc - 컬러 흑백 전호나
"\tm - 마스크 모드 "
"\tr - 원복 복구"
"\ts - null-range floodill 사요하기"
"\tf - use gradient floodfill with fixed(absolute) range\n"
"\tg - use gradient floodfill with floating(relative) range\n"
"\t4 - use 4-connectivity mode\n"
"\t8 - use 8-connectivity mode\n" << endl;
참조 링크
https://docs.opencv.org/4.x/d7/d1b/group__imgproc__misc.html#ga366aae45a6c1289b341d140839f18717
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