Automated classification system of giant white corn using image processing and supervised techniques

Gabriela Gónzales, Juan Gutiérrez-Cárdenas

Resultado de la investigación: Contribución a una conferenciaTexto Científico (Contribución a una conferencia)

Resumen

© 31st International Conference on Computer Applications in Industry and Engineering, CAINE 2018. All rights reserved. Nowadays, the use of artificial vision for classification in agricultural products has proven to have a great impact on this field. The exportation of agricultural goods has risen all over the world, consequently, that is the reason why exporting companies are looking to automate their processes and artificial vision techniques seems a great niche. This automation will allow an improvement in their production performance by diminishing the time and cost of their processes. While having a sound quality product in less time, improved precision and with no extensive manipulation of the product. In this article, we aim to offer a low cost alternative to this procedure oriented to the classification of Peruvian white corn by proposing an algorithm for the segmentation and recognition of images using computer vision techniques.
Idioma originalInglés estadounidense
Páginas195-200
Número de páginas6
EstadoPublicada - 1 ene 2018
Evento31st International Conference on Computer Applications in Industry and Engineering, CAINE 2018 -
Duración: 1 ene 2018 → …

Conferencia

Conferencia31st International Conference on Computer Applications in Industry and Engineering, CAINE 2018
Período1/01/18 → …

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