Step #1: Estimating the color distribution of the foreground and background via a Gaussian Mixture Model (GMM).Iteratively performing the following steps:.Accepting an input image with either (1) a bounding box that specified the location of the object in the image we wanted to segment or (2) a mask that approximated the segmentation.Prior to deep learning and instance/semantic segmentation networks such as Mask R-CNN, U-Net, etc., GrabCut was the method to accurately segment the foreground of an image from the background. In this tutorial, you will learn how to use OpenCV and GrabCut to perform foreground segmentation and extraction.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |