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| Identification Algorithm of Low Contrast Paper Defects Based on Phase Congruency |
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| DOI：10.11980/j.issn.0254-508X.2019.01.009 |
| Key Words:paper defect identification image segmentation phase congruency adaptive threshold |
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| Abstract:According to the phenomenon of losing some important information in conventional threshold segmentation and poor robustness in edge detection when detecting low contrast paper defects based on machine vision， this paper proposed a method to identify low contrast paper defects based on the idea of phase congruency， and verified the feasibility. In this paper， not only the feature extraction method of phase congruency of low contrast paper image was given， but also the generation method of adaptive threshold used in segmentation was given， and compared with the conventional threshold segmentation and the representative canny algorithm in edge detection in experiment. The experimental results showed that when detecting low contrast paper defects， the proposed method preserved more useful information than the conventional threshold segmentation， and the robustness was better than canny edge detection． |
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