Tomato classification based on laser metrology and computer algorithms

Otoniel Igno Rosario; J. Apolinar Muñoz Rodríguez; Haydeé P. Martínez Hernández

doi:10.1117/12.903052

2 November 2011 Tomato classification based on laser metrology and computer algorithms

Otoniel Igno Rosario, J. Apolinar Muñoz Rodríguez, Haydeé P. Martínez Hernández

Proceedings Volume 8011, 22nd Congress of the International Commission for Optics: Light for the Development of the World; 80117K (2011) https://doi.org/10.1117/12.903052
Event: International Commission for Optics (ICO 22), 2011, Puebla, Mexico

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.

Citation Download Citation

Otoniel Igno Rosario, J. Apolinar Muñoz Rodríguez, and Haydeé P. Martínez Hernández "Tomato classification based on laser metrology and computer algorithms", Proc. SPIE 8011, 22nd Congress of the International Commission for Optics: Light for the Development of the World, 80117K (2 November 2011); https://doi.org/10.1117/12.903052

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