Printed label defect detection using twice gradient matching based on improved cosine similarity measure

Author:

Li DongmingORCID,Li JinxingORCID,Fan YuanyiORCID,Lu GuangmingORCID,Ge Jie,Liu Xiaoyang

Funder

NSFC

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference38 articles.

1. Similarity measures for automatic defect detection on patterned textures;Asha;International Journal of Information and Communication Technology,2012

2. Improving unsupervised defect segmentation by applying structural similarity to autoencoders;Bergmann,2018

3. A template matching approach based on the discrepancy norm for defect detection on regularly textured surfaces;Bouchot,2011

4. Segmentation-based detection of local defects on printed pages;Chen;Electronic Imaging,2019

5. Chen, L.-C., Zhu, Y., Papandreou, G., Schroff, F., & Adam, H. (2018). Encoder-decoder with atrous separable convolution for semantic image segmentation. In Proceedings of the European conference on computer vision (ECCV) (pp. 801–818).

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