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

Authors: Ting Zhang; Rui-Zhi Liu; Wei Li

Addresses: School of Design and Art, Shanghai Dianji University, Shanghai, China ' Mechanical College, Shanghai Dianji University, Shanghai, China ' Shanghai Weiyi Information Technology Co., Ltd., Shanghai, China

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.

Keywords: flower pollination algorithm; colour biomimetic feature extraction; sigmoid function; product packaging; swarm intelligence optimisation algorithm.

DOI: 10.1504/IJPD.2025.144852

International Journal of Product Development, 2025 Vol.29 No.1, pp.84 - 99

Received: 04 Jun 2024
Accepted: 23 Oct 2024
Published online: 05 Mar 2025 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article