Image Abstraction through Overlapping Region Growth
Rosa Azami, David H. Mould · Proceedings · 2020
We propose a region-based abstraction of a photograph, where the image plane is covered by overlapping irregularly shaped regions that approximate the image content. We segment regions using a novel region growth algorithm intended to produce highly irregular regions that still respect image edges, different from conventional segmentation methods that encourage compact regions.