A Defect Detection Algorithm of Denim Fabric Based on Cascading Feature Extraction Architecture


Shuangbao Ma, Renchao Zhang, Yujie Dong, Yuhui Feng, Guoqin Zhang, Journal of Information Processing Systems Vol. 19, No. 1, pp. 109-117, Feb. 2023  

https://doi.org/10.3745/JIPS.04.0265
Keywords: Cascading Feature Extraction Architecture, Denim Defect Detection, ImageNet, robustness, Transfer Learning
Fulltext:

Abstract

Defect detection is one of the key factors in fabric quality control. To improve the speed and accuracy of denim fabric defect detection, this paper proposes a defect detection algorithm based on cascading feature extraction architecture. Firstly, this paper extracts these weight parameters of the pre-trained VGG16 model on the large dataset ImageNet and uses its portability to train the defect detection classifier and the defect recognition classifier respectively. Secondly, retraining and adjusting partial weight parameters of the convolution layer were retrained and adjusted from of these two training models on the high-definition fabric defect dataset. The last step is merging these two models to get the defect detection algorithm based on cascading architecture. Then there are two comparative experiments between this improved defect detection algorithm and other feature extraction methods, such as VGG16, ResNet-50, and Xception. The results of experiments show that the defect detection accuracy of this defect detection algorithm can reach 94.3% and the speed is also increased by 1–3 percentage points.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.




Cite this article
[APA Style]
Ma, S., Zhang, R., Dong, Y., Feng, Y., & Zhang, G. (2023). A Defect Detection Algorithm of Denim Fabric Based on Cascading Feature Extraction Architecture. Journal of Information Processing Systems, 19(1), 109-117. DOI: 10.3745/JIPS.04.0265.

[IEEE Style]
S. Ma, R. Zhang, Y. Dong, Y. Feng, G. Zhang, "A Defect Detection Algorithm of Denim Fabric Based on Cascading Feature Extraction Architecture," Journal of Information Processing Systems, vol. 19, no. 1, pp. 109-117, 2023. DOI: 10.3745/JIPS.04.0265.

[ACM Style]
Shuangbao Ma, Renchao Zhang, Yujie Dong, Yuhui Feng, and Guoqin Zhang. 2023. A Defect Detection Algorithm of Denim Fabric Based on Cascading Feature Extraction Architecture. Journal of Information Processing Systems, 19, 1, (2023), 109-117. DOI: 10.3745/JIPS.04.0265.