DocumentCode
3001350
Title
Digital image processing techniques applied in cable insulation parameters measurement
Author
Fan, Chun-ling ; Zou, Li-jun ; Wang, Yan-Hai
Author_Institution
Coll. of Autom. & Electr. Eng., Qingdao Univ. of Sci. & Technol., Qingdao
fYear
2008
fDate
1-3 Sept. 2008
Firstpage
2315
Lastpage
2319
Abstract
The issue is mainly directed against the research of testing and measuring the thickness and diameter of cable insulation layer. The paper starts with designing a cable insulation parameters measurement system based on digital image processing in which image denoising and edge detection are completed through software programming. Total variant denoising method is used in the process of image denoising. In order to detect edge well, binary morphology operator is used. Finally the diameter and thickness of cable insulation layer can be calculated by using the edge feature extracted. The measurement system has many advantages such as more simple operation, higher degree of automation, higher precision, etc. From the measurement result, we can conclude that the measurement system designed has higher practical value.
Keywords
cable insulation; edge detection; electrical engineering computing; feature extraction; image denoising; mathematical operators; binary morphology operator; cable insulation parameters measurement; digital image processing; edge detection; edge feature extraction; image denoising; software programming; Cable insulation; Digital images; Feature extraction; Image denoising; Image edge detection; Insulation testing; Morphology; Noise reduction; Software measurement; Thickness measurement; Image processing; cable insulation layer; geometric parameters; measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-2502-0
Electronic_ISBN
978-1-4244-2503-7
Type
conf
DOI
10.1109/ICAL.2008.4636553
Filename
4636553
Link To Document