Classification of oranges by maturity, using image processing techniques

Author

Caro Prieto, Diana Carolina ; Nieto Tapias, Deivis David

Author_Institution

Fundacion Univ. Agraria De Colombia, Bogota, Colombia

fYear

2014

fDate

22-24 Oct. 2014

Firstpage

1

Lastpage

5

Abstract

This project pretends to apply image processing techniques to identify the degree of maturity in oranges identifying physical characteristics that determine fruit maturity and thus obtain a proper classification system, using benchmarks, complying with the standard CODEX where the quality criteria of the commercial varieties of oranges are specified. For the development of this project will be used a camera image sensor and a means of acquiring information, the image processing will be developed in the Matlab software using image processing techniques for RGB parameters that can be used to perform characterization of maturity of oranges, conditioning of the image being carried out by pre - processing the image applying filters to control lighting and shadows that may affect the image analysis.

Keywords

cameras; crops; filtering theory; image classification; image sensors; quality control; CODEX standard; Matlab software; RGB parameters; camera image sensor; fruit maturity degree identification; image analysis; image conditioning; image filters; image preprocessing techniques; information acquisition; lighting control; orange classification system; orange varieties; physical characteristics; quality criteria; shadow control; Cameras; Image color analysis; Image segmentation; MATLAB; Production; Shape; Image processing; Orange maturity; image filters; quality criteria;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering Mechatronics and Automation (CIIMA), 2014 III International Congress of

Conference_Location

Cartagena

Print_ISBN

978-1-4799-7931-8

Type

conf

DOI

10.1109/CIIMA.2014.6983466

Filename

6983466