Automatic Method for Visual Grading of Seed Food ProductsReport as inadecuate




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1 LAAS-RAP - Équipe Robotique, Action et Perception LAAS - Laboratoire d-analyse et d-architecture des systèmes Toulouse 2 LHC - Laboratoire Hubert Curien Saint Etienne

Abstract : This paper presents an automatic method for visual grading, designed to solve the industrial problem of evaluation of seed lots. The sample is thrown in bulk onto a tray placed in a chamber for acquiring color image. An image processing method had been developed to separate and characterize each seed. The approach adopted for the segmentation step is based on the use of marked point processes and active contour, leading to tackle the problem by a technique of energy minimization.





Author: Pierre Dubosclard - Stanislas Larnier - Hubert Konik - Ariane Herbulot - Michel Devy -

Source: https://hal.archives-ouvertes.fr/



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