Abstract
Whereas numerous methods are used for vision systems embedded on robots, only a few use colored region segmentation mainly because of the processing time. In this paper, we propose a real-time (i.e. video rate) color region segmentation followed by a robust color classification and region merging dedicated to various applications such as RoboCup four-legged league or an industrial conveyor wheeled robot. Performances of this algorithm and confrontation with other existing methods are provided.
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de Cabrol, A., Bonnin, P., Costis, T., Hugel, V., Blazevic, P., Bouchefra, K. (2006). A New Video Rate Region Color Segmentation and Classification for Sony Legged RoboCup Application. In: Bredenfeld, A., Jacoff, A., Noda, I., Takahashi, Y. (eds) RoboCup 2005: Robot Soccer World Cup IX. RoboCup 2005. Lecture Notes in Computer Science(), vol 4020. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11780519_39
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DOI: https://doi.org/10.1007/11780519_39
Publisher Name: Springer, Berlin, Heidelberg
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