TY - GEN
T1 - Detection of oranges in outdoor conditions
AU - Çakir, Yüksel
AU - Kirci, Mürvet
AU - Güneş, Ece Olcay
AU - Üstündaǧ, Burak Berk
PY - 2013
Y1 - 2013
N2 - In this study, a method is proposed to detect orange fruits on tree using image processing techniques in order to develop software for an auto-orange collector robot system. Fruit detection based on computer vision includes some problems. The main problem is variable lighting conditions for the environment in outdoor. The additional problem is the occlusion of fruits by leaves, branches, and the other fruits. In the proposed method these problems are also examined.
AB - In this study, a method is proposed to detect orange fruits on tree using image processing techniques in order to develop software for an auto-orange collector robot system. Fruit detection based on computer vision includes some problems. The main problem is variable lighting conditions for the environment in outdoor. The additional problem is the occlusion of fruits by leaves, branches, and the other fruits. In the proposed method these problems are also examined.
KW - Color and shape based methods
KW - Image processing
KW - Orange detection
UR - http://www.scopus.com/inward/record.url?scp=84889568998&partnerID=8YFLogxK
U2 - 10.1109/Argo-Geoinformatics.2013.6621971
DO - 10.1109/Argo-Geoinformatics.2013.6621971
M3 - Conference contribution
AN - SCOPUS:84889568998
SN - 9781479908684
T3 - 2013 2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013
SP - 500
EP - 503
BT - 2013 2nd International Conference on Agro-Geoinformatics
T2 - 2013 2nd International Conference on Agro-Geoinformatics: Information for Sustainable Agriculture, Agro-Geoinformatics 2013
Y2 - 12 August 2013 through 16 August 2013
ER -