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opencv检测相交点_在网络摄像头feed opencv中检测2条线之间的交点

发布时间：2023/12/14 编程问答 37 豆豆

生活随笔收集整理的这篇文章主要介绍了 opencv检测相交点_在网络摄像头feed opencv中检测2条线之间的交点小编觉得挺不错的,现在分享给大家,帮大家做个参考.

我正在尝试检测摄像头Feed中两条线之间的交点.这是我已经拥有的屏幕截图

我尝试找到红线和绿线之间的交点.

这是我已经拥有的代码

#include "stdafx.h"

#include

IplImage* imgTracking;

int lastX = -1;

int lastY = -1;

//This function threshold the HSV image and create a binary image

IplImage* GetThresholdedImage(IplImage* imgHSV){

IplImage* imgThresh=cvCreateImage(cvGetSize(imgHSV),IPL_DEPTH_8U, 1);

cvInRangeS(imgHSV, cvScalar(170,160,60), cvScalar(180,2556,256), imgThresh);

return imgThresh;

}

void trackObject(IplImage* imgThresh){

// Calculate the moments of 'imgThresh'

CvMoments *moments = (CvMoments*)malloc(sizeof(CvMoments));

cvMoments(imgThresh, moments, 1);

double moment10 = cvGetSpatialMoment(moments, 1, 0);

double moment01 = cvGetSpatialMoment(moments, 0, 1);

double area = cvGetCentralMoment(moments, 0, 0);

// if the area<1000, I consider that the there are no object in the image and it's because of the noise, the area is not zero

if(area>1000){

// calculate the position of the ball

int posX = moment10/area;

int posY = moment01/area;

if(lastX>=0 && lastY>=0 && posX>=0 && posY>=0)

{

// Draw a yellow line from the previous point to the current point

cvLine(imgTracking, cvPoint(posX, posY), cvPoint(lastX, lastY), cvScalar(0,0,255), 4);

}

lastX = posX;

lastY = posY;

}

cvLine(imgTracking,cv::Point(100,300) , cv::Point(600,300),cv::Scalar(0,200,0),2,8);

free(moments);

}

bool intersection(cv::Point lastX, cv::Point lastY, cv::Point , cv::Point())

{

}

void imaginaryline()

{

cv::Mat img = cv::Mat::zeros(500, 500, CV_8UC3);

cv::line(img, cv::Point(100,200) , cv::Point(400,100),cv::Scalar(0,200,0),2,8);

}*/

int main(){

CvCapture* capture =0;

capture = cvCaptureFromCAM(0);

if(!capture){

printf("Capture failure

");

return -1;

}

IplImage* frame=0;

frame = cvQueryFrame(capture);

if(!frame) return -1;

//create a blank image and assigned to 'imgTracking' which has the same size of original video

imgTracking=cvCreateImage(cvGetSize(frame),IPL_DEPTH_8U, 3);

cvZero(imgTracking); //covert the image, 'imgTracking' to black

cvNamedWindow("Video");

cvNamedWindow("Ball");

//iterate through each frames of the video

while(true){

frame = cvQueryFrame(capture);

if(!frame) break;

frame=cvCloneImage(frame);

cvSmooth(frame, frame, CV_GAUSSIAN,3,3); //smooth the original image using Gaussian kernel

IplImage* imgHSV = cvCreateImage(cvGetSize(frame), IPL_DEPTH_8U, 3);

cvCvtColor(frame, imgHSV, CV_BGR2HSV); //Change the color format from BGR to HSV

IplImage* imgThresh = GetThresholdedImage(imgHSV);

cvSmooth(imgThresh, imgThresh, CV_GAUSSIAN,3,3); //smooth the binary image using Gaussian kernel

//track the possition of the ball

trackObject(imgThresh);

printf("Pos X = %d", lastX);

printf("Pos Y = %d", lastY);

// Add the tracking image and the frame

cvAdd(frame, imgTracking, frame);

cvShowImage("Ball", imgThresh);

cvShowImage("Video", frame);

//Clean up used images

cvReleaseImage(&imgHSV);

cvReleaseImage(&imgThresh);

cvReleaseImage(&frame);

//Wait 10mS

int c = cvWaitKey(10);

//If 'ESC' is pressed, break the loop

if((char)c==27 ) break;

}

cvDestroyAllWindows() ;

cvReleaseImage(&imgTracking);

cvReleaseCapture(&capture);

return 0;

}

谢谢您的关注,我等待您的任何回复

更新：

多亏塞巴斯蒂安·施密茨(Sebastian Schmitz),我才解决了.这是我的代码

void checkIntersection(int line, int lastY, int y)

{

if(lastY << line && y >= line || lastY > line && y <= line)

{

printf("intersection detected");

}