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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Format: | Article |
Language: | English |
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Universidad de Antioquia
2016-09-01
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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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first_indexed | 2024-04-09T22:10:10Z |
format | Article |
id | doaj.art-f90645912fe44a26aeecc4aecbc05e2f |
institution | Directory Open Access Journal |
issn | 0120-6230 2422-2844 |
language | English |
last_indexed | 2024-04-09T22:10:10Z |
publishDate | 2016-09-01 |
publisher | Universidad de Antioquia |
record_format | Article |
series | Revista Facultad de Ingeniería Universidad de Antioquia |
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 |