THE PHASES OF AUTOMATIC CLASSIFICATION OF VEGETAL PRODUCTS THROUGH MACHINE VISION TECHNIQUES
Keywords:machine vision, shape, colour, classification, image processing, neural network, fuzzy logic.
Shape, colour and size represent the main parameters of
vegetal products to assess with view to classifying them. These
parameters may also be turned to good account by the machine
vision techniques that proved to be applicable in several
domains. One can especially apply these techniques in the
inspection and analysis systems of industrial products where the
parameters vary according to very low limits.
Taking into account these facts one has tried to develop a
classification system of vegetal products based on machine
vision techniques, as well as on decisive algorithms belonging to
the artificial intelligence: neural networks and Fuzzy algorithms.
The phases of the classification process of vegetal products
together with a port of the soft applications developed as well as
some of the results obtained are presented in details.
Baoping Ji, Non-destructive Technology for Fruits Grading.
International Conference on Agricultural Engineering
Buzera Marius, ô€ƒ¹tefan Constantin, 2007. Detecting the
integrity of the shape of vegetal products by using non-
destructive techniques, Proceedings of the International
Conference, Lozenec, Vol. 2 (2007) 252-256
Buzera Marius, Voicu Groza, Prostean Gabriela, Prostean
Octavian. Techniques of Analysing the Colour of Produces
for Automatic Classification, 12th IEEE International Conference on Intelligent Engineering Systems, USA,
Deck Sidney H., Evaluations of semi-automated vegetable
sorting concept. Transaction of the ASAE (1994)
Laykin Shahar , et al., Image Processing Algorithms for
Tomato Classification. Transaction of the Assae. Vol. 45(3)
Sudharkara Rao P., Colour Analysis of Fruits Using Machine
Vision System for Automatic Sorting and Grading. Journal
Instrum. Soc. India. Vol.34(4) 284-291