In this paper, we present a task-specific segmentation method that incorporates semantic knowledge into datadriven segmentation process through different region merge scores. Starting from a simple region growing algorithm which results in over-segmented regions, we apply region merging method designed specifically for each task such as road extraction or vegetation area identification. Further...

We describe an Eikonal-based algorithm for computing dense oversegmentation of an image, often called superpixels. This oversegmentation respect local image boundaries while limiting undersegmentation. The proposed algorithm relies on a region growing scheme, where the potential map used is not xed and evolves during the di usion. Re nement steps are also proposed to enhance at low cost the rst...

For effective application of laser or X-ray CT scanned mesh models in design, analysis, and inspection etc, it is preferable that they are segmented into desirable regions as a pre-processing. Engineering parts are commonly covered with analytic surfaces, such as planes, cylinders, spheres, cones, and tori. Therefore, the portions of the part’s boundary where each can be represented by a type o...