DocumentCode
3546852
Title
An image segmentation algorithm of the bottom of batteries based on machine vision
Author
Wenhua Hu ; Tian Dan
Author_Institution
Res. Inst. Electron. Sci. & Technol., UESTC, Chengdu, China
Volume
2
fYear
2013
fDate
15-17 Nov. 2013
Firstpage
350
Lastpage
352
Abstract
At present, the technology of machine vision is gradually applied in various manufacturing industries. Battery, a greatly demanded product in the manufacturing industry, is taking use of the technology to inspect the surface defects. In order to improve the efficiency of detection and the effectiveness of the subsequent image processing algorithm in the machine vision system, this paper proposes a simple and accurate image segmentation algorithm, which can effectively and conveniently separate the effective region from the rough battery´s image. And it is been verified by experiments.
Keywords
computer vision; image segmentation; manufacturing industries; secondary cells; image processing; image segmentation; machine vision; manufacturing industries; rough battery image; surface defects; Algorithm design and analysis; Batteries; Educational institutions; Image segmentation; Manufacturing; Object segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems (ICCCAS), 2013 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4799-3050-0
Type
conf
DOI
10.1109/ICCCAS.2013.6765354
Filename
6765354
Link To Document