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Machine vision system for weed detection using image filtering in vegetables crops.
- Source :
-
Revista Facultad de Ingeniería Universidad de Antioquia . 2016, Issue 80, p124-130. 7p. - Publication Year :
- 2016
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01206230
- Issue :
- 80
- Database :
- Academic Search Index
- Journal :
- Revista Facultad de Ingeniería Universidad de Antioquia
- Publication Type :
- Academic Journal
- Accession number :
- 118557265
- Full Text :
- https://doi.org/10.17533/udea.redin.n80a13