Fast segmentation and identification in vision system for soccer robots

Fast segmentation and identification in vision system for soccer robots

Real-time segmentation is important in the color-vision system on the robot system such as soccer robot. This paper introduced a color image segmentation method using improved seed-fill algorithm in YUV color space. The new method dramatically reduces the work of calculation, and speed up the image...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Chao He, Rong Xiong, Lian-kui Dai
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Chaos
Helium
Image processing
Image segmentation
Machine vision
Orbital robotics
Robot vision systems
Robotics and automation
Service robots
Space technology
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Beschreibung
Zusammenfassung:Real-time segmentation is important in the color-vision system on the robot system such as soccer robot. This paper introduced a color image segmentation method using improved seed-fill algorithm in YUV color space. The new method dramatically reduces the work of calculation, and speed up the image processing. The result of comparing it with the old method based on RGB color space was showed in the paper. The implementation on MiroSot Soccer Robot System shows that the new method is fast and accurate.
DOI:10.1109/WCICA.2002.1022167