Morphological PDEs on Graphs for Image Processing on Surfaces and Point Clouds

ISPRS International Journal of Geo-Information

Hugues Talbot¹  Abderrahim Elmoataz¹  François Lozes² 

[1] A3SI Team, University of Paris-Est Marne-La-Vallée int the LIGIM Laboratory, Cité Descartes, Bâtiment Copernic-5, Boulevard Descartes, Champs sur Marne, 77454 Marne-la-Vallée Cedex 2, France;Image Team, University of Caen Normandy and the ENSICAEN in the GREYC Laboratory, 6 Boulevard Maréchal Juin, F-14050 Caen Cedex, France;

关键词: generalized distance;    Hamilton–Jacobi equation;    weighted graphs;    partial difference equations;    mathematical morphology;   

DOI  :  10.3390/ijgi5110213

来源: DOAJ

【 摘 要 】

Partial Differential Equations (PDEs)-based morphology offers a wide range of continuous operators to address various image processing problems. Most of these operators are formulated as Hamilton–Jacobi equations or curve evolution level set and morphological flows. In our previous works, we have proposed a simple method to solve PDEs on point clouds using the framework of PdEs (Partial difference Equations) on graphs. In this paper, we propose to apply a large class of morphological-based operators on graphs for processing raw 3D point clouds and extend their applications for the processing of colored point clouds of geo-informatics 3D data. Through illustrations, we show that this simple framework can be used in the resolution of many applications for geo-informatics purposes.

【 授权许可】

Unknown