Paper Defects Detection via Visual Attention Mechanism
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.
JIANG Ping GAO Tao
School of Control Science & Engineering,University of Jinan ,Jinan 250022,P.R.China Electronic Information Products Supervision and Inspection Institute of Hebei Province,hijiazhuang 0
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-5
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）