Abstract
We present an approach to color segmentation and object localization for small-embedded systems. The algorithm defines sub-spaces in the main color space (RGB), each sub-space being a color class. A look-up table is used to speed up pixel classification in color classes. A binary image is computed for every color class. After noise reduction, we obtain a color class pixel list; after each object’s image coordinates are found and transformed to world-coordinates depending on the camera position.
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Leclercq, P., Bräunl, T. (2001). A Color Segmentation Algorithm for Real-Time Object Localization on Small Embedded Systems. In: Klette, R., Peleg, S., Sommer, G. (eds) Robot Vision. RobVis 2001. Lecture Notes in Computer Science, vol 1998. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44690-7_9
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DOI: https://doi.org/10.1007/3-540-44690-7_9
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