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| Study on Algorithm of Paper Defect Detection Based on Geometric and Gray Feature |
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| DOI：10.11980/j.issn.0254-508X.2011.09.012 |
| Key Words:paper defect on-line detection geometric feature gray feature feature extraction |
| Fund Project:本课题获得陕西省教育厅科研专项基金（2010JK420）;陕西科技大学校博士科研启动基金（BJ10-05）;陕西科技大学校级学术骨干培养计划（2010）资助。 |
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| Abstract:Considering the characteristics of strong real-time and a great deal information of current paper defect on-line detecting system, an efficient and flexible algorithm of paper defect detection based on geometric and gray feature is proposed in this paper. The paper defect image is de-noised by neighborhood averaging method at first. And then binary image is obtained through selecting appropriate threshold according to gray histogram. At last paper defect edge is detected by boundary tracking method. Geometric and gray features of paper defects are extracted and analyzed so as to classify them. Experiment was carried out to verify this algorithm for five common paper defects. The result showed that common paper defects can be accurately detected and classified through the algorithm of paper defect detection based on geometric and gray feature. |
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