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我是使用OpenCV和C++的新手,我已經處理圖片並提取圖片中的輪廓。然後我在一個新的黑色框架上繪製輪廓。具體來說,我繪製了紅色的輪廓。我想獲得黑框中每個和所有紅色像素的座標並將其存儲在一個數組中。我需要這方面的幫助,代碼是首選。提前致謝。使用OpenCV和C++查找沿輪廓點的座標
這裏是我的代碼:
#include <iostream>
#include <Windows.h>
#include <sstream>
#include <opencv2/opencv.hpp>
#include <opencv2\core\core.hpp>
#include <opencv2\highgui\highgui.hpp>
#include <opencv2\imgproc\imgproc.hpp>
#include <opencv2/objdetect/objdetect.hpp>
using namespace cv;
using namespace std;
void on_trackbar(int, void*);
void createTrackbars();
void toggle(int);
const int MAX_NUM_OBJECTS = 500;
const int FRAME_WIDTH = 900;
const int FRAME_HEIGHT = 600;
const int MIN_OBJECT_AREA = 20 * 20;
const int MAX_OBJECT_AREA = FRAME_HEIGHT*FRAME_WIDTH/1.5;
Point middle;
int l_MIN = 30;
int l_MAX = 165;
int a_MIN = 139;
int a_MAX = 165;
int b_MIN = 136;
int b_MAX = 172;
int kerode = 2;
int kdilate = 8;
bool showchangedframe = true;
int main(int argc, char** argv)
{
createTrackbars();
on_trackbar(0, 0);
int x, y;
Mat frame, labframe, rangeframe;
Mat newframe, newrf;
int key;
while ((key = waitKey(30)) != 27)
{
toggle(key);
frame = imread(argv[1], 1);
newframe = imread(argv[1], 1);
dframe = imread(argv[1], 1);
newframe = Scalar(0, 0, 0);
dframe = Scalar(0, 0, 0);
cvtColor(frame, labframe, COLOR_BGR2Lab);
inRange(labframe, Scalar(l_MIN, a_MIN, b_MIN), Scalar(l_MAX, a_MAX, b_MAX), rangeframe);
erode(rangeframe, rangeframe, getStructuringElement(MORPH_RECT, Size(kerode, kerode)));
dilate(rangeframe, rangeframe, getStructuringElement(MORPH_RECT, Size(kdilate, kdilate)));
newrf = rangeframe.clone();
int largest_area = 0;
int largest_contour_index = 0;
vector<vector<Point> > contours;
findContours(newrf, contours, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE);
vector<Moments> mu(contours.size()); //get moments
for (int i = 0; i < contours.size(); i++)
{
mu[i] = moments(contours[i], false);
}
vector<Point2f> mc(contours.size()); //get centers
for (int i = 0; i < contours.size(); i++)
{
mc[i] = Point2f(mu[i].m10/mu[i].m00, mu[i].m01/mu[i].m00);
}
for (int i = 0; i < contours.size(); i++) //iterate through each contour.
{
double a = contourArea(contours[i], false); //Find the area of contour
if (a>largest_area)
{
largest_area = a;
largest_contour_index = i; //Store the index of largest contour
}
}
drawContours(newframe, contours, largest_contour_index, CV_RGB(255, 0, 0), 4);
circle(newframe, mc[largest_contour_index], 5, CV_RGB(255, 255, 0), -1, 8, 0);
imshow("Detected", newframe);
if (showchangedframe)
imshow("Camera", frame);
else
imshow("Camera", rangeframe);
}
}
void on_trackbar(int, void*)
{
if (kerode == 0)
kerode = 1;
if (kdilate == 0)
kdilate = 1;
}
void createTrackbars()
{
String trackbarWindowName = "TrackBars";
namedWindow(trackbarWindowName, WINDOW_NORMAL);
createTrackbar("l_MIN", trackbarWindowName, &l_MIN, l_MAX, on_trackbar);
createTrackbar("l_MAX", trackbarWindowName, &l_MAX, l_MAX, on_trackbar);
createTrackbar("a_MIN", trackbarWindowName, &a_MIN, a_MAX, on_trackbar);
createTrackbar("a_MAX", trackbarWindowName, &a_MAX, a_MAX, on_trackbar);
createTrackbar("b_MIN", trackbarWindowName, &b_MIN, b_MAX, on_trackbar);
createTrackbar("b_MAX", trackbarWindowName, &b_MAX, b_MAX, on_trackbar);
createTrackbar("Erosion", trackbarWindowName, &kerode, 31, on_trackbar);
createTrackbar("Dilation", trackbarWindowName, &kdilate, 31, on_trackbar);
}
void toggle(int key)
{
if (key == 'r')
showchangedframe = !showchangedframe;
}
這裏是輸出:
不'矢量<矢量> contours'已經存儲的座標? –
zindarod
@Zindarod:它確實,但(只)縮小版本,因爲他使用了CV_CHAIN_APPROX_SIMPLE參數 – Micka
哦,沒關係。既然他已經能夠畫出輪廓,我認爲存儲的座標就足夠了。 – zindarod