OpenCV 3 Computer Vision with Python Cookbook

How it works...

OpenCV's cv2.grabCut implements the GrabCut algorithm. This function is able to work in several modes, and takes the following arguments: input 3-channel image, a matrix with initial labels for pixels, a rectangle in (x, y, w, h) format to define label initialization, two matrices to store the process state, a number of iterations, and the mode in which we want the function to launch.

The function returns labels matrix and two matrices with the state of the process. The labels matrix is single-channel, and it stores one of these values in each pixel: cv2.GC_BGD (this means that the pixel definitely belongs to the background), cv2.GC_PR_BGD (this means that the pixel is probably in the background), cv2.GC_PR_FGD (for pixels ...