美好的一天。我是OpenCV的新手,现在,我正在尝试使用颜色跟踪和背景减法方法进行指尖检测。我有颜色跟踪部分工作,但我不知道如何减去背景,只留下指尖。
这是我的代码。
#include <opencv2/opencv.hpp>
#include <stdio.h>
#include <iostream>
using namespace std;
IplImage* GetThresholdedImage(IplImage* img, CvScalar& lowerBound, CvScalar& upperBound)
{
// Convert the image into an HSV image
IplImage* imgHSV = cvCreateImage(cvGetSize(img), 8, 3);
cvCvtColor(img, imgHSV, CV_BGR2HSV);
IplImage* imgThreshed = cvCreateImage(cvGetSize(img), 8, 1);
cvInRangeS(imgHSV, lowerBound, upperBound, imgThreshed);
cvReleaseImage(&imgHSV);
return imgThreshed;
}
int main()
{
int lineThickness = 2;
CvScalar lowerBound = cvScalar(20, 100, 100);
CvScalar upperBound = cvScalar(30, 255, 255);
int b,g,r;
lowerBound = cvScalar(0,58,89);
upperBound = cvScalar(25,173,229);
CvCapture* capture = 0;
capture = cvCaptureFromCAM(1);
if(!capture)
{
printf("Could not initialize capturing...\n");
return -1;
}
cvNamedWindow("video");
cvNamedWindow("thresh");
// This image holds the "scribble" data...
// the tracked positions of the object
IplImage* imgScribble = NULL;
while(true)
{
IplImage* frame = 0;
frame = cvQueryFrame(capture);
if(!frame)
break;
// If this is the first frame, we need to initialize it
if(imgScribble == NULL)
{
imgScribble = cvCreateImage(cvGetSize(frame), 8, 3);
}
// Holds the thresholded image (tracked color -> white, the rest -> black)
IplImage* imgThresh = GetThresholdedImage(frame,lowerBound,upperBound);
// Calculate the moments to estimate the position of the object
CvMoments *moments = (CvMoments*)malloc(sizeof(CvMoments));
cvMoments(imgThresh, moments, 1);
// The actual moment values
double moment10 = cvGetSpatialMoment(moments, 1, 0);
double moment01 = cvGetSpatialMoment(moments, 0, 1);
double area = cvGetCentralMoment(moments, 0, 0);
// Holding the last and current positions
static int posX = 0;
static int posY = 0;
int lastX = posX;
int lastY = posY;
posX = moment10/area;
posY = moment01/area;
cout << "position = " << posX << " " << posY << endl;
// We want to draw a line only if its a valid position
if(lastX>0 && lastY>0 && posX>0 && posY>0)
{
// Draw a yellow line from the previous point to the current point
cvLine(imgScribble, cvPoint(posX, posY), cvPoint(lastX, lastY), upperBound, lineThickness);
}
// Add the scribbling image and the frame...
cvAdd(frame, imgScribble, frame);
cvShowImage("thresh", imgThresh);
cvShowImage("video", frame);
int c = cvWaitKey(10);
if(c==27) //ESC key
{
break;
}
cvReleaseImage(&imgThresh);
delete moments;
}
cvReleaseCapture(&capture);
return 0;
}
答案 0 :(得分:0)
我不知道我是否理解你,但我认为你应该添加以下内容:
cvErode(imgThreshed, imgThreshed, NULL, 1);
cvDilate(imgThreshed, imgThreshed, NULL, 1);
在GetThresholdedImage中获得更少的噪音!但毕竟我认为你最好使用opencv的cv :: Mat对象;)
答案 1 :(得分:0)
尝试使用BGS库,我之前使用它并喜欢它。你可以在这里得到它:http://code.google.com/p/bgslibrary/