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December 12, 2025Scientific ReportsOpen Access

Introducing an efficient method for feature extraction in image retrieval systems

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Authors

XZXiaojun ZhaoFHFeng HeKLKun Lun Li

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Overview

Proposed feature selection algorithm improves retrieval accuracy in image retrieval systems, suggesting enhanced efficiency in search engines.

Key Points

  • The research aims to enhance image retrieval systems through improved feature extraction methods.
  • Developed a feature extraction method for image retrieval systems.
  • Utilized a feature selection algorithm based on Black Hole Optimization.
  • Employed Fuzzy C-Means for image retrieval.
  • Evaluated performance using Corel1000, Brodatz, and ALOI datasets.
  • Achieved precisions of 0.97, 0.95, and 0.94 in Corel1000, Brodatz, and ALOI databases.
  • Demonstrated improved retrieval accuracy and processing speed.

Cite This Study

Zhao et al. (2025) studied this question.

synapsesocial.com/papers/694019032d562116f28f5fd8https://doi.org/10.1038/s41598-025-24118-0
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