How to detect heptagon object?
I would like to detect a heptagon object (arrow).Im using Opencv for a simple shape detection to detect heptagon (7 vertices). With the code Im able to detect triangle, circle, rectangle but not a heptagon object(in the image it is an arrow). Here my code
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <cmath>
using namespace cv;
using namespace std;
Mat src; Mat src_gray;
/**
* Helper function to find a cosine of angle between vectors
* from pt0->pt1 and pt0->pt2
*/
static double angle(cv::Point pt1, cv::Point pt2, cv::Point pt0)
{
double dx1 = pt1.x - pt0.x;
double dy1 = pt1.y - pt0.y;
double dx2 = pt2.x - pt0.x;
double dy2 = pt2.y - pt0.y;
return (dx1*dx2 + dy1*dy2)/sqrt((dx1*dx1 + dy1*dy1)*(dx2*dx2 + dy2*dy2) + 1e-10);
}
/**
* Helper function to display text in the center of a contour
*/
void setLabel(cv::Mat& im, const std::string label, std::vector<cv::Point>& contour)
{
int fontface = cv::FONT_HERSHEY_SIMPLEX;
double scale = 0.4;
int thickness = 1;
int baseline = 0;
cv::Size text = cv::getTextSize(label, fontface, scale, thickness, &baseline);
cv::Rect r = cv::boundingRect(contour);
cv::Point pt(r.x + ((r.width - text.width) / 2), r.y + ((r.height + text.height) / 2));
cv::rectangle(im, pt + cv::Point(0, baseline), pt + cv::Point(text.width, -text.height), CV_RGB(255,255,255), CV_FILLED);
cv::putText(im, label, pt, fontface, scale, CV_RGB(0,0,0), thickness, 8);
}
int main()
{
cv::Mat src = cv::imread("shapes.png");
if (src.empty())
return -1;
// Convert to grayscale
cv::Mat gray;
cv::cvtColor(src, gray, CV_BGR2GRAY);
// Use Canny instead of threshold to catch squares with gradient shading
cv::Mat bw;
cv::Canny(gray, bw, 0, 50, 5);
// Find contours
std::vector<std::vector<cv::Point> > contours;
cv::findContours(bw.clone(), contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
std::vector<cv::Point> approx;
cv::Mat dst = src.clone();
for (int i = 0; i < contours.size(); i++)
{
// Approximate contour with accuracy proportional
// to the contour perimeter
cv::approxPolyDP(cv::Mat(contours[i]), approx, cv::arcLength(cv::Mat(contours[i]), true)*0.02, true);
// Skip small or non-convex objects
if (std::fabs(cv::contourArea(contours[i])) < 100 || !cv::isContourConvex(approx))
continue;
if (approx.size() == 3)
{
setLabel(dst, "TRI", contours[i]); // Triangles
}
else if (approx.size() >= 4 && approx.size() <= 6)
{
// Number of vertices of polygonal curve
int vtc = approx.size();
// Get the cosines of all corners
std::vector<double> cos;
for (int j = 2; j < vtc+1; j++)
cos.push_back(angle(approx[j%vtc], approx[j-2], approx[j-1]));
// Sort ascending the cosine values
std::sort(cos.begin(), cos.end());
// Get the lowest and the highest cosine
double mincos = cos.front();
double maxcos = cos.back();
// Use the degrees obtained above and the number of vertices
// to determine the shape of the contour
if (vtc == 4 && mincos >= -0.1 && maxcos <= 0.3)
setLabel(dst, "RECT", contours[i]);
else if (vtc == 5 && mincos >= -0.34 && maxcos <= -0.27)
setLabel(dst, "PENTA", contours[i ...
Take a look at the shape module, you probably can classify the different shapes by comparing the moment values of each shape.