I have an image converted in a CvMat
Matrix say CVMat source
. Once I get a region of interest from source
I want the rest of the algorithm to be applied to that region of interest only. For that I think I will have to somehow crop the source
matrix which I am unable to do so. Is there a method or a function that could crop a CvMat
Matrix and return another cropped CvMat
matrix? thanks.
OpenCV has region of interest functions which you may find useful. If you are using the cv::Mat
then you could use something like the following.
// You mention that you start with a CVMat* imagesource
CVMat * imagesource;
// Transform it into the C++ cv::Mat format
cv::Mat image(imagesource);
// Setup a rectangle to define your region of interest
cv::Rect myROI(10, 10, 100, 100);
// Crop the full image to that image contained by the rectangle myROI
// Note that this doesn't copy the data
cv::Mat croppedImage = image(myROI);
croppedImage
if I call image.release()
? –
Faviolafavonian val croppedMatGray = Mat(matGray, rect)
- it's not copy too? just reference? –
Redbird I know this question is already solved.. but there is a very easy way to crop. you can just do it in one line-
Mat cropedImage = fullImage(Rect(X,Y,Width,Height));
fullImage()
function? EDIT: Nevermind, it's the cv::Mat
-image itself... –
Poop To get better results and robustness against differents types of matrices, you can do this in addition to the first answer, that copy the data :
cv::Mat source = getYourSource();
// Setup a rectangle to define your region of interest
cv::Rect myROI(10, 10, 100, 100);
// Crop the full image to that image contained by the rectangle myROI
// Note that this doesn't copy the data
cv::Mat croppedRef(source, myROI);
cv::Mat cropped;
// Copy the data into new matrix
croppedRef.copyTo(cropped);
To create a copy of the crop we want, we can do the following,
// Read img
cv::Mat img = cv::imread("imgFileName");
cv::Mat croppedImg;
// This line picks out the rectangle from the image
// and copies to a new Mat
img(cv::Rect(xMin,yMin,xMax-xMin,yMax-yMin)).copyTo(croppedImg);
// Display diff
cv::imshow( "Original Image", img );
cv::imshow( "Cropped Image", croppedImg);
cv::waitKey();
Mat crop = img(Rect(...)).clone()
–
Sigismondo I understand this question has been answered but perhaps this might be useful to someone...
If you wish to copy the data into a separate cv::Mat object you could use a function similar to this:
void ExtractROI(Mat& inImage, Mat& outImage, Rect roi){
/* Create the image */
outImage = Mat(roi.height, roi.width, inImage.type(), Scalar(0));
/* Populate the image */
for (int i = roi.y; i < (roi.y+roi.height); i++){
uchar* inP = inImage.ptr<uchar>(i);
uchar* outP = outImage.ptr<uchar>(i-roi.y);
for (int j = roi.x; j < (roi.x+roi.width); j++){
outP[j-roi.x] = inP[j];
}
}
}
It would be important to note that this would only function properly on single channel images.
You can easily crop a Mat using opencv funtions.
setMouseCallback("Original",mouse_call);
The mouse_call
is given below:
void mouse_call(int event,int x,int y,int,void*)
{
if(event==EVENT_LBUTTONDOWN)
{
leftDown=true;
cor1.x=x;
cor1.y=y;
cout <<"Corner 1: "<<cor1<<endl;
}
if(event==EVENT_LBUTTONUP)
{
if(abs(x-cor1.x)>20&&abs(y-cor1.y)>20) //checking whether the region is too small
{
leftup=true;
cor2.x=x;
cor2.y=y;
cout<<"Corner 2: "<<cor2<<endl;
}
else
{
cout<<"Select a region more than 20 pixels"<<endl;
}
}
if(leftDown==true&&leftup==false) //when the left button is down
{
Point pt;
pt.x=x;
pt.y=y;
Mat temp_img=img.clone();
rectangle(temp_img,cor1,pt,Scalar(0,0,255)); //drawing a rectangle continuously
imshow("Original",temp_img);
}
if(leftDown==true&&leftup==true) //when the selection is done
{
box.width=abs(cor1.x-cor2.x);
box.height=abs(cor1.y-cor2.y);
box.x=min(cor1.x,cor2.x);
box.y=min(cor1.y,cor2.y);
Mat crop(img,box); //Selecting a ROI(region of interest) from the original pic
namedWindow("Cropped Image");
imshow("Cropped Image",crop); //showing the cropped image
leftDown=false;
leftup=false;
}
}
For details you can visit the link Cropping the Image using Mouse
© 2022 - 2024 — McMap. All rights reserved.