DocumentCode :
3534000
Title :
Vision system-based, grape leaves processing, in real time
Author :
Pachidis, Theodore P. ; Sarafis, Ilias T. ; Lygouras, John N.
Author_Institution :
Dept. of Ind. Inf., Kavala Inst. of Technol., Kavala, Greece
fYear :
2010
fDate :
1-2 July 2010
Firstpage :
472
Lastpage :
477
Abstract :
In this paper, automatic grape leaves processing and preparation of them (fitting of the proper cutting shapes on leaves area) to cover food industry needs, are presented. In the experimental setup, images are captured by means of a single firewire camera and a LED-based lighting system, while grape leaves are moving on a conveyor belt. For image processing, a novel software application (called NtolcutPT) has been developed in visual C++. It is based on known and novel proposed in this paper image processing algorithms and methodologies that ensure automatic leaves processing in real time, with less wastage and more reliability. Adapting the proposed system in a food industry production line the whole process can be optimized. Experimental results prove the effectiveness of this system.
Keywords :
C++ language; computer vision; food processing industry; food products; production engineering computing; real-time systems; LED-based lighting system; NtolcutPT; automatic grape leaves processing; conveyor belt; cutting shape; firewire camera; food industry production line; image processing; real time; software application; vision system; visual C++ language; Belts; Cameras; Firewire; Fitting; Food industry; Image processing; Machine vision; Pipelines; Real time systems; Shape; NtolcutPT software application; grape leaves feature extraction; standard cutting models; thinning algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Imaging Systems and Techniques (IST), 2010 IEEE International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
978-1-4244-6492-0
Type :
conf
DOI :
10.1109/IST.2010.5548449
Filename :
5548449
Link To Document :
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