INVESTIGADORES
JORDAN Mario Alberto
congresos y reuniones científicas
Título:
AN ADAPTIVE VISION-BASED SENSOR FOR UNDERWATER LINE DETECTION IN CHANGING AND LOW ILLUMINATION LEVELS
Autor/es:
JORDAN, MARIO; TRABES, EMANUEL
Lugar:
Buenos Aires, Argentina
Reunión:
Congreso; 24º Congreso Argentino de Control Automático (AADECA 2014); 2014
Institución organizadora:
Asociación Argentina de Control Automático (AADECA)
Resumen:
This work aims the design and implementation of an adaptive visionbased sensor for detecting a pipe on underwater scenes in real time. The motivation is focused to future applications of vision servo control in underwater vehicles. The approach employs color and shape image segmentation together with an adjust mechanism that aims continuously in time to reach the best setup of a parameter set of the color image segmentation. The sensor performs very well even in the case of large and rapid changes in the scene illumination. On the basis of many experiments carried out in real scenes and the comparison with similar algorithms in the state-of-the-art field on the same application, the approach gets a better positioning with respect to related results above all in the case of extremely changing and poor luminance conditions. As drawback, the required computation time to achieve optimal values for the first time (auto-tuning phase) may be large; contrary to the adaptive ongoing process, in where the optimization is much more agile.
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