Abstract
Model based segmentation methods make use of a priori knowledge of the object to improve the segmentation results. Taking advantage of global information makes these methods less sensitive to local interferences like noise or line gaps. Laser lines from optical sensors are deformed due to the geometry of the measured object. Therefore we use dynamic models for robust and fast segmentation of a laser line.
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Schnee, J., Futterlieb, J. (2011). Laser Line Segmentation with Dynamic Line Models. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds) Computer Analysis of Images and Patterns. CAIP 2011. Lecture Notes in Computer Science, vol 6854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23672-3_16
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DOI: https://doi.org/10.1007/978-3-642-23672-3_16
Publisher Name: Springer, Berlin, Heidelberg
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