Detection of oranges in outdoor conditions

Author

Cakir, Yuksel ; Kirci, Murvet ; Gunes, Ece Olcay ; Ustundag, Burak Berk

Author_Institution

Fac. of Electr. & Electron. Eng., Dept. of Electron. & Commun. Eng., ITU, Istanbul, Turkey

fYear

2013

fDate

12-16 Aug. 2013

Firstpage

500

Lastpage

503

Abstract

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.

Keywords

agricultural products; agriculture; image colour analysis; industrial robots; lighting; mobile robots; object detection; robot vision; shape recognition; software engineering; auto-farming systems; auto-orange collector robot system; color based method; computer vision; image processing techniques; orange fruit detection; outdoor conditions; shape based method; software development; variable lighting conditions; Agriculture; Cameras; Image color analysis; Lighting; Robot vision systems; Shape; color and shape based methods; image processing; orange detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Agro-Geoinformatics (Agro-Geoinformatics), 2013 Second International Conference on

Conference_Location

Fairfax, VA

Type

conf

DOI

10.1109/Argo-Geoinformatics.2013.6621971

Filename

6621971