Title :
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
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;
Conference_Titel :
Engineering Mechatronics and Automation (CIIMA), 2014 III International Congress of
Conference_Location :
Cartagena
Print_ISBN :
978-1-4799-7931-8
DOI :
10.1109/CIIMA.2014.6983466
