A Split-and-Merge Segmentation Algorithm for Line Extraction in 2-D Range Images

Authors:
G. A. Borges
Affiliations:
-
Venue:
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Year:
2000

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Abstract

This paper presents a segmentation method for line extraction in 2-D range images. It uses a prototype-based fuzzy clustering algorithm in a split-and-merge framework. The split-and-merge structure allows us to use the fuzzy clustering algorithm without any previous knowledge on the number of prototypes. This algorithm aims to be used in mobile robots navigation systems for dynamic map building. Simulation results show its good performance compared to some classical approaches.