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

Ping Jiang and Tao Gao
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Ping Jiang: University of Jinan, China
Tao Gao: Electronic Information Products Supervision and Inspection Institute of Hebei Province, China

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 2011, vol. 3, issue 3, 24-31

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.

Date: 2011
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