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Proceedings Paper

The mathematical morphology of paper's defect detection method based on multi-scale and multi-structure elements morphology
Author(s): Jie Kang; Gang Yang
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Paper Abstract

Since mathematic morphology of paper's defect detection method based on single-structure element has the shortcoming of obtaining incomplete and discontinued defect information, a new method of mathematical morphology defect detection on paper image using multi-scale and multi-structure elements morphology was proposed. Firstly, on the same scale, the multi-structure elements were adopted in edge detection on paper image, and then the edge image on one scale was gained through synthesizing. Secondly, the edge images on the different scales were weighted summed, binarized and suppressed the noise, and at last, the edge image of paper's defect detection was obtained using multi-scale and multi-structure elements morphology. The results of simulation show that the algorithm in this paper has better antiinterference and positioning accuracy, and the obtained edge is more complete.

Paper Details

Date Published: 19 August 2010
PDF: 6 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200J (19 August 2010); doi: 10.1117/12.867462
Show Author Affiliations
Jie Kang, Shaanxi Univ. of Science and Technology (China)
Gang Yang, Xi'an Institute of Posts & Telecommunications (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

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