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• W1520973357 abstract "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 the 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." @default.
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• W1520973357 date "2011-07-22" @default.
• W1520973357 modified "2023-09-23" @default.
• W1520973357 title "Paper defects detection via visual attention mechanism" @default.
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