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| Identification Algorithm of Paper Defects Based on Threshold Segmentation and Fractal Characteristics |
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| DOI：10.11981/j.issn.1000-6842.2011.04.41 |
| Key Words:gray characteristics； threshold segmentation； fractal box dimension； paper defects recognition |
| Fund Project:江苏省制浆造纸科学与技术重点实验室开放基金项目（编号：201010）。 |
| Author Name | Affiliation | | 殷燕屏 | 南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 | | 熊智新* | 南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 | | 胡慕伊 | 南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 |
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| Abstract: |
| Aiming at the identification of typical paper defects such as specks, hole, flaw and goffer, through the analysis of the image gray characteristics and fractal feature, a recognized algorithm of paper defects base on threshold segmentation and fractal characteristics is proposed. The algorithm can determine the types of paper defect, according to image characteristics of paper defect after threshold segmentation, and the box-counting dimension of 2-D digital image. Experiment results show that this approach is efficient, simple and fast for paper defects recognition. |
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