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复杂背景下的纤维识别研究
汪依帆1, 汪存燕2
1.上海市学生事务中心;2.上海应用技术学院
摘要:
对在复杂背景下的纤维识别进行了研究.由于图像中纤维交错分布,相互遮挡,很难用现成的方法完成识别.本文作者提出的识别方法包括3部分:边缘检测,边缘细化与边缘修复.试验结果表明,本方法可避免纤维交叉,纤维弯曲等影响,并能较为准确地识别出每条纤维.
关键词:  纤维识别  边缘检测  细化  补断  匹配
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The research on fiber recognition in complex background
WANG Yifan1, WANG Cunyan2
1.Information and Technology Department,Shanghai Center for Student Affairs;2.College of Computer,Shanghai Institute of Technology
Abstract:
In this paper the fiber recognition in complex background is researched.As the fibers in the image are intertwined and covered each other,the existing methods are difficult to achieve the recognition.The proposed recognition method includes three parts:edge detection,edge thinning and edge repairing.The result of experiment shows that this method can recognize each fiber correctly without the influence of the intertwining and bending.
Key words:  fiber recognition,edge detection,thinning,connecting the break,matching