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