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A biomimetic feature extraction method for product packaging colour based on flower pollination algorithm

Author

Listed:
  • Ting Zhang
  • Rui-Zhi Liu
  • Wei Li

Abstract

In order to improve the accuracy and recall of product packaging colour bionic feature extraction, this paper proposes a product packaging colour bionic feature extraction method based on flower pollination algorithm. Firstly, smooth the product packaging image, extract super-pixel blocks from the image, and complete intelligent image segmentation. Then, using the flower pollination algorithm to simulate self-pollination, the conversion probability is introduced to conduct a global search for colour biomimetic features and determine the colour biomimetic features. Finally, using the sigmoid function, the determined colour biomimetic features are discretised and extracted. If the feature value is 0, the feature is not extracted, and if the value is 1, the feature is extracted to complete the colour biomimetic feature extraction. The results show that the extraction accuracy of the method in this paper can reach 99.25%, the extraction recall rate can reach 96.2% and the product packaging colour biomimetic feature effect is good.

Suggested Citation

  • Ting Zhang & Rui-Zhi Liu & Wei Li, 2025. "A biomimetic feature extraction method for product packaging colour based on flower pollination algorithm," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 29(1), pages 84-99.
    • Handle: RePEc:ids:ijpdev:v:29:y:2025:i:1:p:84-99
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