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2025-03-04 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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This article mainly shows you "how c # realizes vehicle outline recognition". The content is simple and clear. I hope it can help you solve your doubts. Let me lead you to study and learn the article "c # how to realize vehicle outline recognition".
Scene
The contour recognition of the vehicle has been realized, and the minimum rectangular range of the outline has been extracted. Now we need to know the two points closest to the rectangle at the rear of the car, which may be a bit overqualified.
Code
# include "opencv2/highgui/highgui.hpp"
# include "opencv2/imgproc/imgproc.hpp"
# include
Using namespace cv
Using namespace std
Void Dilate (InputArray src, OutputArray dst)
{
Int dilation_type = MORPH_RECT
Int dilation_size = 10
Mat dielem = getStructuringElement (dilation_type
Size (2*dilation_size+1, 2*dilation_size+1)
Point (dilation_size, dilation_size))
/ / expansion operation
Dilate (src, dst, dielem)
}
/ *
This function is mainly used to capture the complete outline of the vehicle in the picture, and the judgment condition is
The Y coordinate of the outline of the vehicle cannot be greater than the length of the picture, and secondly, the filtering area is too small.
The outline of the vehicle is likely to be the error caused by the mirror or the difference between frames to split the vehicle into two segments.
, /
Void CaptureCompleteVehicle (Mat & srcMat, Mat & grayMat)
{
Vector contours
Vector hierarchy
FindContours (grayMat, contours,hierarchy,RETR_EXTERNAL,CHAIN_APPROX_NONE,Point ())
Mat dstMat=Mat::zeros (grayMat.size (), CV_8UC1)
Mat contourMat
SrcMat.copyTo (contourMat)
Int picHeight = grayMat.size () .height
Bool bTouchBotton = false
Bool bTouchTop = false
Vector mu (contours.size ())
For (int iTuno; I > framePre)
CvtColor (framePrePre,framePrePre,CV_RGB2GRAY)
CvtColor (framePre,framePre,CV_RGB2GRAY)
Int save=0
While (true)
{
VideoCap > > frameNow
If (frameNow.empty ()) | | waitKey (videoPause) = = 27) break
CvtColor (frameNow,frameNow,CV_RGB2GRAY)
Mat Det1
Mat Det2
Absdiff (framePrePre,framePre,Det1); / / frame difference 1
Absdiff (framePre,frameNow,Det2); / / frame difference 2
Threshold (Det1,Det1,0,255,CV_THRESH_OTSU); / / Adaptive thresholding
Threshold (Det2,Det2,0,255,CV_THRESH_OTSU)
Mat element=getStructuringElement (0Magnum size (3je 3)); / / inflated kernel
Dilate (Det1,Det1,element); / / expansion
Dilate (Det2,Det2,element)
Bitwise_and (Det1,Det2,frameDet)
FramePrePre=framePre
FramePre=frameNow
Dilate (frameDet, frameDet)
CaptureCompleteVehicle (frameNow, frameDet)
WaitKey (1000)
}
Return 0
}
The above is all the contents of the article "how to realize vehicle outline recognition". Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!
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