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Background Compensation Method of Paper Defects Image Base on Sparse Decomposition via Multi-scale Redundant Dictionary
  
DOI：10.11980/j.issn.0254-508X.2016.11.010
Key Words:paper defects detection  sparse decomposition  OMP  multi-scale redundant dictionary  image background compensation
Fund Project:陕西省科技攻关项目(2016GY-005);陕西省科技统筹创新工程计划项目(2012KTCQ01-19);陕西省科技攻关项目(2011K06-06);西安市未央区科技计划项目201304。
Author NameAffiliation
周　强 陕西科技大学电气与信息工程学院,陕西西安,710021 
杜晞盟* 陕西科技大学电气与信息工程学院,陕西西安,710021 
王志强 陕西科技大学电气与信息工程学院,陕西西安,710021 
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Abstract:Aiming at the low measurement accuracy in paper defect detection due to the non-uniform image background and unobvious gray level feature, the paper suggested adopting Orthogonal Matching Pursuit(OMP) to conduct sparse decomposition by establishing a multi-scale redundant dictionary, the image background was compensated based on the background image and the different characteristics of paper defect image, thereby enhancing the paper defect characteristics. Experiment showed that this method could efficiently restructure and compensate the background image, highlight the paper defects with low gray level characteristic, eventually to improve the accuracy of paper defect detection．
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