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A Novel Detection Method of Paper Defects Based on Visual Attention Mechanism

A Novel Detection Method of Paper Defects Based on Visual Attention Mechanism

Ping Jiang, Tao Gao
Copyright: © 2011 |Volume: 3 |Issue: 3 |Pages: 8
ISSN: 1937-965X|EISSN: 1937-9668|EISBN13: 9781613505410|DOI: 10.4018/japuc.2011070103
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MLA

Jiang, Ping, and Tao Gao. "A Novel Detection Method of Paper Defects Based on Visual Attention Mechanism." IJAPUC vol.3, no.3 2011: pp.24-31. http://doi.org/10.4018/japuc.2011070103

APA

Jiang, P. & Gao, T. (2011). A Novel Detection Method of Paper Defects Based on Visual Attention Mechanism. International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 3(3), 24-31. http://doi.org/10.4018/japuc.2011070103

Chicago

Jiang, Ping, and Tao Gao. "A Novel Detection Method of Paper Defects Based on Visual Attention Mechanism," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) 3, no.3: 24-31. http://doi.org/10.4018/japuc.2011070103

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Abstract

In this paper, an improved paper defects detection method based on visual attention mechanism computation model is presented. First, multi-scale feature maps are extracted by linear filtering. Second, the comparative maps are obtained by carrying out center-surround difference operator. Third, the saliency map is obtained by combining conspicuity maps, which is gained by combining the multi-scale comparative maps. Last, the seed point of watershed segmentation is determined by competition among salient points in the saliency map and the defect regions are segmented from the background. Experimental results show the efficiency of the approach for paper defects detection.

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