RT article
T1 Development of a computer vision system for the automatic quality grading of mandarin segments
A1 Blasco, José
A1 Cubero, Sergio
A1 Arias, Raul
A1 Gomez, Juan
A1 Juste, Florentino
A1 Moltó, Enrique
A2 MartiJ Benedi, JM Serrat, J.
AB This work focuses on the development of a computer vision system for the automatic on-line inspection and classification of Satsuma segments. During the image acquisition the segments are in movement, wet and frequently in contact with other pieces. The segments are transported over six semi-transparent conveyor belts that advance at speed of 1 nits. During on-line operation, the system acquires images of the segments using two cameras connected to a single computer and process the images in less than 50 ms. Extracting morphological features from the objects, the system identifies automatically pieces of skin and row material and separates entire segments from broken ones, discriminating between those with slight or large breaking degree. Combinations of morphological parameters were employed to decide the quality of each segment, classifying correctly 95% of sound segments.
SN 0302-9743; 978-3-540-72848-1
YR 2007
FD 2007
LK http://hdl.handle.net/20.500.11939/4871
UL http://hdl.handle.net/20.500.11939/4871
LA en
NO Blasco, J., Cubero, Sergio, Arias, Raul, Gomez, J., Juste, Florentino, Moltó, E. (2007). Development of a computer vision system for the automatic quality grading of mandarin segments. Pattern Recognition and Image Analysis, Pt 2, Proceedings, 4478, 460-466.
DS MINDS@UW
RD Jan 23, 2020