Optimization of CNN-based image retrieval process based on Fourier transform and entropy

Jiaojuan Wang; Minghan Guo; Hongbin Dou; Binkang Wang

doi:10.1117/12.3029711

21 June 2024 Optimization of CNN-based image retrieval process based on Fourier transform and entropy

Jiaojuan Wang, Minghan Guo, Hongbin Dou, Binkang Wang

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 1316726 (2024) https://doi.org/10.1117/12.3029711
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

In image retrieval, two main indicators are focused: accuracy and efficiency. Focusing on improving the indicators, this article proposes an optimized method for image retrieval based on CNN features based on Fourier transform and entropy. Using Fourier transform to describe images more accurately to improve accuracy, Using entropy to binary describe images to improve efficiency. We evaluated the effectiveness of our method using Vgg16, Resnet18, and ShuffleNetV2 networks on the UKbench, Holidays, and Wang datasets. On UKbench, the average improvement in retrieval accuracy is 0.0254, and the average improvement in retrieval efficiency is 22.12%. On Holidays, the average retrieval accuracy improved by 2.65% and the average retrieval efficiency improved by 18.63%. On Wang (top 20), the average retrieval accuracy improved by 0.23%, and the average retrieval efficiency improved by 37.58%. The experimental results show that the proposed method can effectively improve accuracy and efficiency.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiaojuan Wang, Minghan Guo, Hongbin Dou, and Binkang Wang "Optimization of CNN-based image retrieval process based on Fourier transform and entropy", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 1316726 (21 June 2024); https://doi.org/10.1117/12.3029711

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KEYWORDS

Feature extraction

Image retrieval

Image fusion

Fourier transforms

Image processing

Information theory

Feature fusion

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