THE PHASES OF AUTOMATIC CLASSIFICATION OF VEGETAL PRODUCTS THROUGH MACHINE VISION TECHNIQUES

Marius BUZERA, Lucian GAL, Zorela REBEDEA

Abstract


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.


Keywords


machine vision, shape, colour, classification, image processing, neural network, fuzzy logic.

Full Text:

Art. 4

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