DocumentCode :
3444140
Title :
Detecting citrus fruits with shadow within tree canopy by a fusing method
Author :
Lu, Jun ; Sang, Nong ; Ou, Yangyan ; Huang, Zhuo ; Shi, Pujuan
Author_Institution :
Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China
fYear :
2012
fDate :
16-18 Oct. 2012
Firstpage :
1229
Lastpage :
1232
Abstract :
In order to guide the robots for harvesting citrus fruit, a method based on hue map and chromatic aberration map was developed to detect citrus fruits with shadow within tree canopy.Thirteen color images of natural citrus-grove scene were photoed, and the color properties of target objects were analyzed. A rule for segmenting citrus fruit from background was put forward that the pixel belongs to citrus fruits if the value of R subtracted by B is larger than the threshold value(T),and the citrus fruit with shadow can be detected correctly from the tree canopy by fusing the segmented results of hue map. The results show that the fruits with shadow can be identified integrally using the proposed method.
Keywords :
Machine vision; detection; mature orange; shadow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing, Sichuan, China
Print_ISBN :
978-1-4673-0965-3
Type :
conf
DOI :
10.1109/CISP.2012.6469750
Filename :
6469750
Link To Document :
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