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- W4387489843 abstract "In image recognition, Faster R-CNN detection algorithm based on R-CNN has received more and more attention in recent years. Compared with traditional image processing algorithms, this type of algorithm can extract deeper pattern features in complex embroidery images and improve the robustness and recognition accuracy of the algorithm. In order to extract deeper pattern features in embroidery images, this paper uses Faster R-CNN networks to recognize different types of embroidery patterns, and uses ResNet50 and VGG16 as Faster R-CNN feature extraction networks respectively for comparison. The experimental results show that the Faster R-CNN network based on ResNet50 has better image recognition effect after pre-training." @default.
- W4387489843 created "2023-10-11" @default.
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- W4387489843 date "2023-10-10" @default.
- W4387489843 modified "2023-10-16" @default.
- W4387489843 title "Research on embroidery image recognition based on deep learning" @default.
- W4387489843 doi "https://doi.org/10.1117/12.3005861" @default.
- W4387489843 hasPublicationYear "2023" @default.
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