DocumentCode
1987664
Title
Notice of Retraction
A measurement technique of cable insulation thickness based on image processing
Author
Zhongyi Hu ; Minghai Xu
Author_Institution
Intell. Inf. Syst. Inst., Wenzhou Univ., Wenzhou, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
5664
Lastpage
5666
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Conventional Cable insulation test for the traditional experimental methods of measuring efficiency is low, the error is large, by the impact of the shortcomings of human factors is proposed based on image processing of the cable insulation thickness measurement research techniques, combined with the classic edge detection algorithm and improved algorithm for automatic contour extraction of cable insulation and true to its edge detail, through this two-cycle-by-pixel comparison algorithm to automatically obtain the minimum thickness of the cable insulation and size. And experimental results show that the system is reliable, high precision, can easily solve the cable insulation thickness measurements.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Conventional Cable insulation test for the traditional experimental methods of measuring efficiency is low, the error is large, by the impact of the shortcomings of human factors is proposed based on image processing of the cable insulation thickness measurement research techniques, combined with the classic edge detection algorithm and improved algorithm for automatic contour extraction of cable insulation and true to its edge detail, through this two-cycle-by-pixel comparison algorithm to automatically obtain the minimum thickness of the cable insulation and size. And experimental results show that the system is reliable, high precision, can easily solve the cable insulation thickness measurements.
Keywords
edge detection; image processing; power cable insulation; power engineering computing; thickness measurement; automatic contour extraction; cable insulation testing; cable insulation thickness measurement research technique; classic edge detection algorithm; image processing; two-cycle-by-pixel comparison algorithm; Cable insulation; Image edge detection; Position measurement; Rotation measurement; Thickness measurement; Cable Insulation Thickness; Edge Detection; Image Processing; Measuring Technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6057728
Filename
6057728
Link To Document