A method for retrieving We-map using perceptual hashing algorithms

Yuhao Hou; Weifang Yang; Xiangrong Yan; Yibo Peng; Ruiqi Zhang; Jiaming Shi; Xinyu Zhu

doi:10.1117/12.3029767

21 June 2024 A method for retrieving We-map using perceptual hashing algorithms

Yuhao Hou, Weifang Yang, Xiangrong Yan, Yibo Peng, Ruiqi Zhang, Jiaming Shi, Xinyu Zhu

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131672F (2024) https://doi.org/10.1117/12.3029767
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

To address the issue of We-maps users experiencing difficulty in quickly and accurately retrieving maps, the paper proposes utilizing perceptual hash algorithms to retrieve the maps. First, the map image is extracted from the We-map database and processed in batches to obtain invariant features. Then, various perceptual hash algorithms are used to establish spatial mapping based on map content features, resulting in a fixed-length hash code. Finally, the Hamming distance is used to calculate the similarity of hash features corresponding to the map, and a comparison is made to retrieve the map from the We-map database that fulfills the user's requirements based on the comparison outcome. The retrieved map, based on the comparison result, will satisfy the user's needs. Using this method enhances image retrieval efficiency, enabling fast retrieval of images on We-map and comprehensive micro-map image retrieval. The retrieval-based experimental results demonstrate that by utilizing this approach, users can promptly retrieve We-maps with comparable image characteristics, thereby presenting an innovative content retrieval method for We-maps.

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

Citation Download Citation

Yuhao Hou, Weifang Yang, Xiangrong Yan, Yibo Peng, Ruiqi Zhang, Jiaming Shi, and Xinyu Zhu "A method for retrieving We-map using perceptual hashing algorithms", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131672F (21 June 2024); https://doi.org/10.1117/12.3029767

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KEYWORDS

Image retrieval

Feature extraction

Databases

Image processing

Matrices

Image enhancement

Data modeling

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