DocumentCode :
1903531
Title :
Skew Detection and Correction Method of Fabric Images Based on Hough Transform
Author :
Ruilin, Zhang ; Yan, Hu ; Zhijian, Fang ; Lei, Zhang
Author_Institution :
Software Eng. Inst., Zhejiang Sci-Tech Univ., Hangzhou, China
Volume :
2
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
340
Lastpage :
343
Abstract :
To solve the skew situation of scanned fabric image, a method based on Hough transform for skew detection and correction in fabric images was presented. By combining the characteristics of fabric images and the weft direction information extracted by Sobel operator, this method performed hierarchical Hough transform on the weft boundary to detect the skew angle of fabric image. Finally, a rotation algorithm based on the image linear storage structure was introduced, and the skew image was corrected rapidly. The skew detect algorithm has been experimented on various skew angles of fabric image and very promising results have been achieved given more than 99% accuracy. Experimental results show that the proposed method with high adaptability is more accurate and rapidly than traditional Hough transform.
Keywords :
Hough transforms; fabrics; image enhancement; textile industry; textile technology; Hough transform; Sobel operator; image linear storage structure; rotation algorithm; scanned fabric image correction; skew detection algorithm; skew image; weft boundary; weft direction information extraction; Automation; Colored noise; Computational complexity; Data mining; Fabrics; Image analysis; Image storage; Interference; Pixel; Software engineering; Hough transform; angle detection; fabric image; skew correction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.318
Filename :
5287959
Link To Document :
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