DocumentCode :
589365
Title :
Research of Sorting Technology Based on Industrial Robot of Machine Vision
Author :
Liu Zhenyu ; Zhao Bin ; Zhu Haibo
Author_Institution :
Inf. Sci. & Eng. Sch., Shenyang Univ. of Technol., Shenyang, China
Volume :
1
fYear :
2012
fDate :
28-29 Oct. 2012
Firstpage :
57
Lastpage :
61
Abstract :
Aimed at the industrial sorting technology problems, this paper researched correlative algorithm of image processing and analysis, and completed the construction of robot vision sense. the operational process was described as follows: the camera acquired image sequences of the metal work piece in the sorting region. Image sequence was analyzed to use algorithms of image pre-processing, Hough circle detection, corner detection and contour recognition. in the mean time, this paper also explained the characteristics of three main function model (image pre-processing, corner detection and contour recognition), and proposed algorithm of multi-objective center and a corner recognition. the simulated results show that the sorting system can effectively solve the sorting problem of regular geometric work piece, and accurately calculate center and edge of geometric work piece to achieve the sorting purpose.
Keywords :
cameras; edge detection; image sequences; industrial robots; materials handling; object recognition; robot vision; Hough circle detection; camera; contour recognition; corner detection; corner recognition; correlative algorithm; edge detection; image preprocessing; image processing; image sequence; industrial robot; industrial sorting technology; machine vision; metal workpiece; multiobjective center recognition; regular geometric workpiece; robot vision; Cameras; Image edge detection; Machine vision; Robot kinematics; Service robots; Sorting; image processing; industrial robot; machine vision; sorting; target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
Type :
conf
DOI :
10.1109/ISCID.2012.23
Filename :
6406874
Link To Document :
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