DocumentCode :
3234749
Title :
A Skew Detection Method of Fabric Images Based on Multi-threshold Analysis
Author :
Zhang, Ruilin ; Zeng, Xianghui
Author_Institution :
Dept. of Comput. Applic., Zhejiang Sci-Tech Univ., Hangzhou, China
fYear :
2010
fDate :
21-24 Oct. 2010
Firstpage :
265
Lastpage :
268
Abstract :
The inevitable skew of the fabric images during scanning has brought great difficulties for the subsequent image processing operations. In the paper, a new skew detection method of fabric images based on the multi-threshold analysis is proposed: First, Sobel operator gradient is used to extract the weft information, and then improve the algorithm´s computational speed by introducing the aberration and more threshold values. To improve the accuracy, false extreme elimination, the mean weight operations and the error compensation are added when using hierarchical Hough transform to detect the skew angle of the weft. Thus, the skew angle of the fabric image is acquired finally. The results show that this method can detect the skew angle of fabric image fast, and the test results are accurate.
Keywords :
computer vision; fabrics; gradient methods; image processing; production engineering computing; Sobel operator gradient; error compensation; fabric images; hierarchical Hough transform; image processing operations; multithreshold analysis; skew detection method; weft information extraction; Accuracy; Arrays; Data mining; Equations; Fabrics; Image edge detection; Transforms; error compensation; hierarchical Hough transform; multi-threshold;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking and Distributed Computing (ICNDC), 2010 First International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-8382-2
Type :
conf
DOI :
10.1109/ICNDC.2010.60
Filename :
5645440
Link To Document :
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