Li, Hongdong; Shen, Chunhua
The problem of foreground/background segmentation is of great importance in image processing and computer vision. We present a novel Linear-Programming (LP)-based algorithm for color image segmentation. This algorithm segments an image into a conceptually-meaningful foreground region (usually corresponding to the object of interest) and background regions. From a few user specified strokes we learn two Gaussian Mixture models corresponding to the foreground and background region respectively....[Show more]
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.