SEGMENTATION OF COLOR IMAGES USING A COMBINATION BETWEEN MARKOW RANDOM FIELDS AND GRAPHS
Stefan Gherbea, Aurel Vlaicu · 2008
Abstract: The goal of image segmentation is partitioning the images into homogeneous and interpretable regions. Image interpretation is part of scene understanding. It can be viewed as the process of giving meaning to a 2D image by identifying and labeling significant objects or segments in the image. For example, we may first segment an image and then interpret each segment as being a road, river, building etc.