Machine vision system for weed detection using image filtering in vegetables crops

This work presents a machine vision system for weed detection in vegetable crops using outdoor images, avoiding lighting and sharpness problems during acquisition step. This development will be a module for a weed removal mobile robot with camera obscura (Latin for “dark room”) for lighting control...

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Main Authors: Camilo Andrés Pulido-Rojas, Manuel Alejandro Molina-Villa, Leonardo Enrique Solaque-Guzmán
Format: Article
Language:English
Published: Universidad de Antioquia 2016-09-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/24301
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author Camilo Andrés Pulido-Rojas
Manuel Alejandro Molina-Villa
Leonardo Enrique Solaque-Guzmán
author_facet Camilo Andrés Pulido-Rojas
Manuel Alejandro Molina-Villa
Leonardo Enrique Solaque-Guzmán
author_sort Camilo Andrés Pulido-Rojas
collection DOAJ
description This work presents a machine vision system for weed detection in vegetable crops using outdoor images, avoiding lighting and sharpness problems during acquisition step. This development will be a module for a weed removal mobile robot with camera obscura (Latin for “dark room”) for lighting controlled conditions. The purpose of this paper is to develop a useful algorithm to discriminate weed, using image filtering to extract color and area features, then, a process to label each object in the scene is implemented, finally, a classification based on area is proposed, including sensitivity, specificity, positive and negative predicted values in order to evaluate algorithm performance.
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spelling doaj.art-f90645912fe44a26aeecc4aecbc05e2f2023-03-23T12:30:10ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442016-09-018010.17533/udea.redin.n80a13Machine vision system for weed detection using image filtering in vegetables cropsCamilo Andrés Pulido-Rojas0Manuel Alejandro Molina-Villa1Leonardo Enrique Solaque-Guzmán2Militar University of New GranadaMilitar University of New GranadaMilitar University of New Granada This work presents a machine vision system for weed detection in vegetable crops using outdoor images, avoiding lighting and sharpness problems during acquisition step. This development will be a module for a weed removal mobile robot with camera obscura (Latin for “dark room”) for lighting controlled conditions. The purpose of this paper is to develop a useful algorithm to discriminate weed, using image filtering to extract color and area features, then, a process to label each object in the scene is implemented, finally, a classification based on area is proposed, including sensitivity, specificity, positive and negative predicted values in order to evaluate algorithm performance. https://revistas.udea.edu.co/index.php/ingenieria/article/view/24301weed detection machine visionweed removal discriminate crop
spellingShingle Camilo Andrés Pulido-Rojas
Manuel Alejandro Molina-Villa
Leonardo Enrique Solaque-Guzmán
Machine vision system for weed detection using image filtering in vegetables crops
Revista Facultad de Ingeniería Universidad de Antioquia
weed detection
machine vision
weed removal
discriminate crop
title Machine vision system for weed detection using image filtering in vegetables crops
title_full Machine vision system for weed detection using image filtering in vegetables crops
title_fullStr Machine vision system for weed detection using image filtering in vegetables crops
title_full_unstemmed Machine vision system for weed detection using image filtering in vegetables crops
title_short Machine vision system for weed detection using image filtering in vegetables crops
title_sort machine vision system for weed detection using image filtering in vegetables crops
topic weed detection
machine vision
weed removal
discriminate crop
url https://revistas.udea.edu.co/index.php/ingenieria/article/view/24301
work_keys_str_mv AT camiloandrespulidorojas machinevisionsystemforweeddetectionusingimagefilteringinvegetablescrops
AT manuelalejandromolinavilla machinevisionsystemforweeddetectionusingimagefilteringinvegetablescrops
AT leonardoenriquesolaqueguzman machinevisionsystemforweeddetectionusingimagefilteringinvegetablescrops