Founded in 1971 >
Chinese Sci-tech Core Periodicals >
British Science Abstracts (SA, INSPEC) Indexed Journals >
United States, Cambridge Scientific Abstract: Technology (CSA: T) Indexed Journals >
United States, Ulrich's Periodicals Directory(UPD)Indexed Journals >
United States, Cambridge Scientific Abstract: Natural Science (CSA: NS) Indexed Journals >
Poland ,Index of Copernicus(IC) Indexed Journals >
International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
Add:
No.9 Gaoguannong,Daxue Road,Hangzhou,China
P.C:
310009
E-mail:
meem_contribute@163.com
Realtime calculation of dispersed materials dynamic position in scrap nonferrous metal sorting
WANG Qiao1, YE Wenhua1, XIONG Tianzhong1, HUANG He1, HUANG Jiansheng2, LU Jianfeng2
(1.College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
210016, China; 2.Jiangsu Huahong Technology Stock Co., Ltd., Jiangyin 214423, China)
Abstract: Aiming at the problem of calculation of materials dynamic position in scrap nonferrous metal sorting, an improved algorithm based on the shape center algorithm of binary image was proposed to ensure the accuracy and efficiency of position calculation. The scrap nonferrous metal sorting based on Xray transmission technology was analyzed, image processing technology was used to process the detection data. Considering nonferrous metals materials had the characteristics such as differences in shape, size and attitude, high speed, high precision connected components labeling was adopted and an improved method was proposed based on the shape center algorithm of binary image. The shape centers of multiple objects could be calculated by scanning the image for once when the connected components labeling was completed. The problem of the detection data of the same material was divided into two images can also be solved and the position of nonferrous metals materials could be calculated eventually. The results of experiment show that the algorithm can calculate the position of the nonferrous metals materials quickly and accurately, the accuracy of the algorithm can reach 92.3% and the average running time is 30.3ms per image.
Key words: scrap nonferrous metal; sorting; image processing; position calculation