Share Email Print
cover

Proceedings Paper

Eggshell defects detection based on color processing
Author(s): Maria C. Garcia-Alegre; Angela Ribeiro; Domingo Guinea; Gabriel Cristobal
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The automatic classification of defective eggs constitutes a fundamental issue at the poultry industry for both economical and sanitary reasons. The early separation of eggs with spots and cracks is a relevant task as the stains can leak while progressing on the conveyor-belts, degrading all the mechanical parts. Present work is focused on the implementation of an artificial vision system for detecting in real time defective eggs at the poultry farm. First step of the algorithmic process is devoted to the detection of the egg shape to fix the region of interest. A color processing is then performed only on the eggshell to obtain an image segmentation that allows the discrimination of defective eggs from clean ones in critic time. The results are presented to demonstrate the validity of the proposed visual process on a wide sample of both defective and non-defective eggs.

Paper Details

Date Published: 21 March 2000
PDF: 8 pages
Proc. SPIE 3966, Machine Vision Applications in Industrial Inspection VIII, (21 March 2000); doi: 10.1117/12.380082
Show Author Affiliations
Maria C. Garcia-Alegre, Instituto de Automatica Industrial (Spain)
Angela Ribeiro, Instituto de Automatica Industrial (Spain)
Domingo Guinea, Instituto de Automatica Insustrial (Spain)
Gabriel Cristobal, Instituto de Optica (Spain)


Published in SPIE Proceedings Vol. 3966:
Machine Vision Applications in Industrial Inspection VIII
Kenneth W. Tobin; John C. Stover, Editor(s)

© SPIE. Terms of Use
Back to Top