Details

Autor(en) / Beteiligte

• Pulido-Rojas, Camilo Andrés
• Molina-Villa, Manuel Alejandro
• Solaque-Guzmán, Leonardo Enrique

Titel

Machine vision system for weed detection using image filtering in vegetables crops/Sistema de visión de máquina para detectar maleza usando filtros de imágenes en cultivos de hortalizas

Ist Teil von

• Revista Facultad de Ingeniería, 2016-09 (80), p.124-124

Ort / Verlag

Medellín: Universidad de Antioquía

Erscheinungsjahr

2016

Quelle

EZB Free E-Journals

Beschreibungen/Notizen

• 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.