Automatic Method for Visual Grading of Seed Food Products

Pierre Dubosclard (1) , Stanislas Larnier (1) , Hubert Konik (2) , Ariane Herbulot (1) , Michel Devy (1)

1 LAAS-RAP - Équipe Robotique, Action et Perception
2 LHC - Laboratoire Hubert Curien

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.

Domaines: Traitement du signal et de l'image [eess.SP]

Pierre Dubosclard, Stanislas Larnier, Hubert Konik, Ariane Herbulot, Michel Devy. Automatic Method for Visual Grading of Seed Food Products. International Conference on Image Analysis and Recognition ICIAR, Oct 2014, Vilamoura, Portugal, Oct 2014, Vilamoura, Algarve, Portugal. pp.485 - 495, ⟨10.1007/978-3-319-11758-4_53⟩. ⟨hal-01097778⟩