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| An Algorithm for Low Contrast Paper Defects Inspection Based on Gabor Filter |
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| DOI： |
| Key Words:Gabor filter; low contrast; edge detection; morphology; paper defect inspection |
| Fund Project:陕西省教育厅自然专项（17JK0645）；陕西省科技统筹创新工程计划项目（2012KTCQ01-19）；陕西省重点科技创新团队计划项目（2014KCT-15）。 |
| Author Name | Affiliation | | QU Yunhui1，2，* | 1.College of Electric and Information Engineering， Shaanxi University of Science & Technology， Xi’an， Shaanxi Province， 710021
2.Computer Teaching and Research Section， Xi’an Medical University， Xi’an， Shaanxi Province， 710021 | | TANG Wei1 | 1.College of Electric and Information Engineering， Shaanxi University of Science & Technology， Xi’an， Shaanxi Province， 710021 | | WEN Hao1 | 1.College of Electric and Information Engineering， Shaanxi University of Science & Technology， Xi’an， Shaanxi Province， 710021 | | LEI Tao1 | 1.College of Electric and Information Engineering， Shaanxi University of Science & Technology， Xi’an， Shaanxi Province， 710021 |
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| Abstract: |
| Traditional paper defect detection algorithms have the problems of low detection rate and poor anti-interference ability for low contrast paper defects such as cracks and wrinkles. Considering these problems， an algorithm of low contrast paper defects based on Gabor let filter was presented.Firstly， the Gabor filter and Gaussian filter were used to eliminate the texture elements and enhance the contrast. Then， Laplacian algorithm was used for edge detection. Finally， morphological closed operation was used to obtain a whole edge image.The simulation results indicated that this algorithm had the advantages of high detection rate， accurate positioning and good anti-disturbance performance for low contrast paper defects． |
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