基于预浸纱自动铺放缺陷的分割算法
为保证预浸纱自动铺放成型制件的性能,基于图像处理技术,根据预浸纱表面图像沿纤维方向灰度均匀的特性,提出了一种结合灰度补偿和差影分割的缺陷分割算法。利用图像灰度补偿矩阵对图像进行灰度补偿,依据图像的灰度误差服从正态分布的特点剔除图像矩阵中的极大误差点,并建立标准背景图像,以允许差值系数K作为判据进行差影分割。结果表明：该算法对气泡、异物两种典型铺放缺陷分割效果好、速度快,为实现自动铺放缺陷在线监测提供了良好的理论基础。...
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| Published in | 航空材料学报 Vol. 37; no. 2; pp. 21 - 27 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
南京航空航天大学 材料科学与技术学院,南京,210016
2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1005-5053 |
| DOI | 10.11868/j.issn.1005-5053.2016.000157 |
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| Abstract | 为保证预浸纱自动铺放成型制件的性能,基于图像处理技术,根据预浸纱表面图像沿纤维方向灰度均匀的特性,提出了一种结合灰度补偿和差影分割的缺陷分割算法。利用图像灰度补偿矩阵对图像进行灰度补偿,依据图像的灰度误差服从正态分布的特点剔除图像矩阵中的极大误差点,并建立标准背景图像,以允许差值系数K作为判据进行差影分割。结果表明：该算法对气泡、异物两种典型铺放缺陷分割效果好、速度快,为实现自动铺放缺陷在线监测提供了良好的理论基础。 |
|---|---|
| AbstractList | 为保证预浸纱自动铺放成型制件的性能,基于图像处理技术,根据预浸纱表面图像沿纤维方向灰度均匀的特性,提出了一种结合灰度补偿和差影分割的缺陷分割算法。利用图像灰度补偿矩阵对图像进行灰度补偿,依据图像的灰度误差服从正态分布的特点剔除图像矩阵中的极大误差点,并建立标准背景图像,以允许差值系数K作为判据进行差影分割。结果表明：该算法对气泡、异物两种典型铺放缺陷分割效果好、速度快,为实现自动铺放缺陷在线监测提供了良好的理论基础。 TB332; 为保证预浸纱自动铺放成型制件的性能,基于图像处理技术,根据预浸纱表面图像沿纤维方向灰度均匀的特性,提出了一种结合灰度补偿和差影分割的缺陷分割算法.利用图像灰度补偿矩阵对图像进行灰度补偿,依据图像的灰度误差服从正态分布的特点剔除图像矩阵中的极大误差点,并建立标准背景图像,以允许差值系数K作为判据进行差影分割.结果表明:该算法对气泡、异物两种典型铺放缺陷分割效果好、速度快,为实现自动铺放缺陷在线监测提供了良好的理论基础. |
| Abstract_FL | In order to ensure the performance of the automated fiber placement forming parts,according to the homogeneity of the image of the prepreg surface along the fiber direction,a defect segmentation algorithm which was the combination of gray compensation and substraction algorithm based on image processing technology was proposed.The gray compensation matrix of image was used to compensate the gray image,and the maximum error point of the image matrix was eliminated according to the characteristics that the gray error obeys the normal distribution.The standard image was established,using the allowed deviation coefficient K as a criterion for substraction segmentation.Experiments show that the algorithm has good effect,fast speed in segmenting two kinds of typical laying defect of bubbles or foreign objects,and provides a good theoretical basis to realize automatic laying defect online monitoring. |
| Author | 蔡志强 肖军 文立伟 王东立 吴瑶平 |
| AuthorAffiliation | 南京航空航天大学材料科学与技术学院,南京210016 |
| AuthorAffiliation_xml | – name: 南京航空航天大学 材料科学与技术学院,南京,210016 |
| Author_FL | XIAO Jun WANG Dongli WU Yaoping WEN Liwei CAI Zhiqiang |
| Author_FL_xml | – sequence: 1 fullname: CAI Zhiqiang – sequence: 2 fullname: XIAO Jun – sequence: 3 fullname: WEN Liwei – sequence: 4 fullname: WANG Dongli – sequence: 5 fullname: WU Yaoping |
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| DocumentTitleAlternate | Algorithm of Defect Segmentation for AFP Based on Prepregs |
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| Keywords | 灰度补偿 gray compensation defect detection 自动铺丝 segmentation of mass centroid 差影算法 automated fiber placement 质心分割 缺陷检测 subtraction algorithm |
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| Notes | automated fiber placement ; defect detection ; gray compensation ; segmentation of mass centroid ; subtraction algorithm 11-3159/V CAI Zhiqiang, XIAO Jun, WEN Liwei, WANG Dongli, WU Yaoping（College of Materials Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China） In order to ensure the performance of the automated fiber placement forming parts, according to the homogeneity of the image of the prepreg surface along the fiber direction, a defect segmentation algorithm which was the combination of gray compensation and substraction algorithm based on image processing technology was proposed. The gray compensation matrix of image was used to compen-sate the gray image, and the maximum error point of the image matrix was eliminated according to the characteristics that the gray error obeys the normal distribution. The standard image was established, using the allowed deviation coefficient K as a criterion for substrac-tion segmentation. Experiments show that the algorith |
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| PublicationTitle | 航空材料学报 |
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| Publisher | 南京航空航天大学 材料科学与技术学院,南京,210016 |
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| SubjectTerms | 差影算法 灰度补偿 缺陷检测 自动铺丝 质心分割 |
| Title | 基于预浸纱自动铺放缺陷的分割算法 |
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