Image segmentation schema for low-level computer vision

摘要

This paper describes two distinct approaches to image-segmentation, both of which take the form of so-called region-growing algorithms. This kind of algorithms begin with a seed location and attempt to join neighboring pixels to this growing seed until no neighbors can be joined to it.In the first approach, each pixel is linked to the nearest neighbor in the sense of the gray level. The second approach is based on a binary relation named relative similarity relation which reflects relative properties in an image. The combined segmentation scheme of these approaches is also presented.