Inspection of surface defects using optimal FIR filters

Inspection of surface defects using optimal FIR filters
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DOI:
10.1109/icassp.2003.1202339
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发表时间:
2003-04
期刊:
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).
影响因子:
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通讯作者:
Ajay Kumar
Ajay Kumar
中科院分区:
其他
文献类型:
--
作者:
Ajay Kumar

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研究了一种纹理材料表面检测的新方法。利用了线性FIR滤波器,在纹理的缺陷和无缺陷区域之间提供了最佳的能量分离。针对织物瑕疵,对不同特征分离准则的性能进行了评价。讨论了用于有监督和无监督网络检测的最优过滤器的设计问题。提出了一种基于最优滤波的通用网络检测系统。用这种新方法进行的实验取得了很好的结果。该方案的在线计算简单性证实了该方法在工业检测中的有效性。
A new method of surface inspection for textured materials is investigated. The linear FIR filters that offer optimal energy separation between the defect and defect-free regions of texture have been utilized. The performance of different feature separation criteria with reference to fabric defects has been evaluated. The issues relating to the design of optimal filters for supervised and unsupervised web inspection are discussed. A general web inspection system based on optimal filters is proposed. Experiments with this new approach have yielded excellent results. The on-line computational simplicity of using the proposed scheme confirms the usefulness of the approach for industrial inspection.