模塑件漆面缺陷的鲁棒检测

2014 Canadian Conference on Computer and Robot Vision Pub Date : 2014-05-06 DOI:10.1109/CRV.2014.48

Cole Tarry, Michael Stachowsky, M. Moussa

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引用次数: 7

摘要

提出了一种检测模塑件局部缺陷的方法。该方法使用偏转术来产生对比度增强的图像，该图像随后在一种新的算法中进行处理。该方法不需要精确的力学模型，并且对图像分辨率的变化具有鲁棒性。实验结果表明，该方法对大多数零件的细微缺陷检测准确率在90%以上。

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Robust Detection of Paint Defects in Moulded Plastic Parts

A method for detecting local defects in moulded plastic parts is presented. The method uses deflectometry to produce a contrast enhanced image that is later processed in a novel algorithm. The method operates without the need for accurate mechanical models and is robust to changes in image resolution. Experimental results show that the method can detect subtle defects with over 90% accuracy on most parts.

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来源期刊

2014 Canadian Conference on Computer and Robot Vision

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