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Proceedings Paper

Tomato classification based on laser metrology and computer algorithms
Author(s): Otoniel Igno Rosario; J. Apolinar Muñoz Rodríguez; Haydeé P. Martínez Hernández
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Paper Abstract

An automatic technique for tomato classification is presented based on size and color. The size is determined based on surface contouring by laser line scanning. Here, a Bezier network computes the tomato height based on the line position. The tomato color is determined by CIELCH color space and the components red and green. Thus, the tomato size is classified in large, medium and small. Also, the tomato is classified into six colors associated with its maturity. The performance and accuracy of the classification system is evaluated based on methods reported in the recent years. The technique is tested and experimental results are presented.

Paper Details

Date Published: 2 November 2011
PDF: 8 pages
Proc. SPIE 8011, 22nd Congress of the International Commission for Optics: Light for the Development of the World, 80117K (2 November 2011); doi: 10.1117/12.903052
Show Author Affiliations
Otoniel Igno Rosario, Ctr. de Investigaciones en Óptica, A.C. (Mexico)
J. Apolinar Muñoz Rodríguez, Ctr. de Investigaciones en Óptica, A.C. (Mexico)
Haydeé P. Martínez Hernández, Instituto Tecnológico de Apizaco (Mexico)


Published in SPIE Proceedings Vol. 8011:
22nd Congress of the International Commission for Optics: Light for the Development of the World
Ramón Rodríguez-Vera; Ramón Rodríguez-Vera; Ramón Rodríguez-Vera; Rufino Díaz-Uribe; Rufino Díaz-Uribe; Rufino Díaz-Uribe, Editor(s)

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