I'm very new to OpenCV (started using it two days ago), I'm trying to cut a hand image from a depth image got from Kinect, I need the hand image for gesture recognition. I have the image as a cv::Mat
type. My questions are:
cv::Mat
to cvMat
so that I can use cvGetSubRect
method to get the Region of interest?cv::Mat
that I can use for getting the part of the image?I wanted to use IplImage
but I read somewhere that cv::Mat
is the preferred way now.
Python OpenCV – selectroi() Function With this method, we can select a range of interest in an image manually by selecting the area on the image. Parameter: window_name: name of the window where selection process will be shown. source image: image to select a ROI.
In this article, we show how to create a region of interest in an image in Python using the OpenCV module. First, let's explain the concept of a region of interest. A region of interest is a place on an image where we want to search for something.
Many common image operations are performed using Region of Interest in OpenCV. A ROI allows us to operate on a rectangular subset of the image. The typical series of steps to use ROI is: create a ROI on the image, perform the operation you want on this subregion of the image, reset back the ROI.
You can use the overloaded function call operator on the cv::Mat
:
cv::Mat img = ...; cv::Mat subImg = img(cv::Range(0, 100), cv::Range(0, 100));
Check the OpenCV documentation for more information and for the overloaded function that takes a cv::Rect
. Note that using this form of slicing creates a new matrix header, but does not copy the data.
Maybe an other approach could be:
//Create the rectangle cv::Rect roi(10, 20, 100, 50); //Create the cv::Mat with the ROI you need, where "image" is the cv::Mat you want to extract the ROI from cv::Mat image_roi = image(roi)
I hope this can help.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With