使用轮廓进行物体识别。代码与图像配合得很好,我修改了代码,通过摄像头输入实时识别对象。我的笔记本电脑的集成摄像头可以很好地工作,但在使用外置摄像头几秒钟后崩溃。外部相机与我使用opencv开发的一些其他应用程序一起工作正常。相机是一个200万像素的相机。请查看代码并帮助我找出可能出错的地方。我的处理器足以处理高分辨率的图像。当我在应用程序启动之前在凸轮前面引入一个对象时,应用程序似乎崩溃了。
include <iostream>
include "opencv2/highgui/highgui.hpp"
include "opencv2/imgproc/imgproc.hpp"
using namespace cv; using namespace std;
int main()
{
int largest_area = 0;
int largest_contour_index = 0;
Rect bounding_rect;
int x = 0;
int y = 0;
VideoCapture xps(0);
Mat src;
while (1)
{
xps.read(src);
vector<vector<Point>> contours; // Vector for storing contour
vector<Vec4i> hierarchy;
Mat thr(src.rows, src.cols, CV_8UC1);
Mat dst(src.rows, src.cols, CV_8UC1, Scalar::all(0));
cvtColor(src, thr, CV_BGR2GRAY); //Convert to gray
threshold(thr, thr, 80, 255, THRESH_BINARY_INV);
findContours(thr, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
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;
bounding_rect = boundingRect(contours[i]);
}
}
Scalar color(255, 255, 255);
drawContours(dst, contours, largest_contour_index, color, CV_FILLED, 8, hierarchy);
rectangle(src, bounding_rect, Scalar(0, 255, 0), 1, 8, 0);
x = bounding_rect.x + bounding_rect.width / 2;
y = bounding_rect.y + bounding_rect.height / 2;
circle(src, Point(x, y), 1, Scalar(0, 0, 255));
imshow("src", src);
imshow("largest Contour", dst);
waitKey(2);
} }
答案 0 :(得分:1)
我认为碰撞是由于可能找不到的轮廓造成的。要避免此问题,请使用标记,如果找到轮廓,则绘制它们。
bool found = findContours(thr, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
/* for loop */
if(found)
{
drawContours(dst, contours, largest_contour_index, color, CV_FILLED, 8, hierarchy);
rectangle(src, bounding_rect, Scalar(0, 255, 0), 1, 8, 0);
x = bounding_rect.x + bounding_rect.width / 2;
y = bounding_rect.y + bounding_rect.height / 2;
circle(src, Point(x, y), 1, Scalar(0, 0, 255));
}