Data augmentation method in image retrieval of digital equipment

Peide Wang; Junjie Wang

doi:10.1117/12.2656757

20 October 2022 Data augmentation method in image retrieval of digital equipment

Peide Wang, Junjie Wang

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124511B (2022) https://doi.org/10.1117/12.2656757
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

Digital equipment image retrieval is a typical fine-grained problem, In order to solve the fine-grained problem, necessary data enhancement methods will be essential. Propose a data enhancement method of deep learning in digital device image retrieval. Using the data preprocessing method of artificial optimal data enhancement strategy, the enhanced data set is generated through image enhancement(ChannelShuffle, ColorJitter), geometric transformation, noise interference, and the feature distortion in the process of data augmentation is improved. It can not only effectively solve the problem of large amount of manual labeling samples in deep learning, complete data expansion, but also help to improve the generalization ability of the retrieval model. The experimental results show that the CNN model trained by data augmentation method improves the mAP accuracy of digital equipment image retrieval by an average of 10.4.

Citation Download Citation

Peide Wang and Junjie Wang "Data augmentation method in image retrieval of digital equipment", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124511B (20 October 2022); https://doi.org/10.1117/12.2656757

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KEYWORDS

Data modeling

Image filtering

Image enhancement

Image retrieval

Digital filtering

Image segmentation

Digital imaging

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