Title :
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
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;
Conference_Titel :
Agro-Geoinformatics (Agro-Geoinformatics), 2013 Second International Conference on
Conference_Location :
Fairfax, VA
DOI :
10.1109/Argo-Geoinformatics.2013.6621971
