@inproceedings{e54bcf8983144465af889ad23636e983,
title = "An approach for improve the recognition of defects in coffee beans using retinex algorithms",
abstract = "This paper describes the development of a system for evaluating the quality of coffee focused on the pre-processing of digital images using an algorithm based on the retinex theory called multi-scale retinex with color restoration (MSRCR). A dataset of images of coffee beans are collected and others techniques for image enhancement are compared, then a color gray-level coocurrence matrix (CGLCM) technique is used for features extraction and a Support Vector Machine (SVM) is used to evaluate results with a set of prepared data, these results shows a good visual quality and better accuracy in classification for MSRCR techniques compared with others, finally conclusions and future works are presented.",
keywords = "CGLCM, Computer vision, MSRCR, SVM, coffee beans, image enhancement, industrial quality, retinex",
author = "Apaza, {Rel Guzm{\'a}n} and Portugal-Zambrano, {Christian E.} and Guti{\'e}rrez-C{\'a}ceres, {Juan C.} and Beltr{\'a}n-Casta{\~n}{\'o}n, {C{\'e}sar A.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 40th Latin American Computing Conference, CLEI 2014 ; Conference date: 15-09-2014 Through 19-09-2014",
year = "2014",
month = nov,
day = "21",
doi = "10.1109/CLEI.2014.6965102",
language = "English",
series = "Proceedings of the 2014 Latin American Computing Conference, CLEI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Pablo Ezzatti and Andrea Delgado",
booktitle = "Proceedings of the 2014 Latin American Computing Conference, CLEI 2014",
}