Machine vision system for weed detection using image filtering in vegetables crops
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad de Antioquia
2016
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| _version_ | 1876424936267972608 |
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| author | Camilo Andrés Pulido-Rojas |
| author_facet | Camilo Andrés Pulido-Rojas |
| contents | Machine vision system for weed detection using image filtering in vegetables crops Camilo Andrés Pulido-Rojas Manuel Alejandro Molina-Villa Leonardo Enrique Solaque-Guzmán Ingeniería weed removal Weed detection machine vision discriminate crop 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. 2016 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43047073013 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.80 |
| format | Artículo científico |
| id | redalyc_43047073013 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Universidad de Antioquia |
| spellingShingle | Machine vision system for weed detection using image filtering in vegetables crops Camilo Andrés Pulido-Rojas Ingeniería weed removal Weed detection machine vision discriminate crop Machine vision system for weed detection using image filtering in vegetables crops Camilo Andrés Pulido-Rojas Manuel Alejandro Molina-Villa Leonardo Enrique Solaque-Guzmán Ingeniería weed removal Weed detection machine vision discriminate crop 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. 2016 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43047073013 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.80 |
| title | Machine vision system for weed detection using image filtering in vegetables crops |
| topic | Ingeniería weed removal Weed detection machine vision discriminate crop |
| url | https://www.redalyc.org/articulo.oa?id=43047073013 |