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Conference Paper Fruit Recognition Algorithm for Harvesting Robot
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Authors
Byung-Gil Han, Min-Kyu Kim, Yun-Su Chung, Eun-Chang Choi
Issue Date
2012-05
Citation
International Symposium on Embedded Technology (ISET) 2012, pp.1-3
Language
English
Type
Conference Paper
Abstract
In this paper, we describe fruit recognition method that can be used as vision system for harvesting robot. In order to get position information of oriental-melons on two-dimensional images, RGB channel information is used. The oriental-melons are separated from the background through a binarization, a morphological operation and a BLOB analysis, and then the position information of the oriental-melons, which is transferred to control part of harvesting robot, is extracted. The experimental results show that the method is so effective to get fruit position information for harvesting robot.
KSP Keywords
Blob analysis, Fruit Recognition, Harvesting Robot, Morphological Operation, Position information, Recognition method, Two-dimensional image, Vision system, recognition algorithm, two-dimensional(2D)