Version 1
: Received: 5 October 2024 / Approved: 5 October 2024 / Online: 7 October 2024 (11:21:14 CEST)
How to cite:
Suzuki, Y.; Mizukami, Y.; Bao, Y. Leaf Vein Analysis of Different Plant Species Using Multifractal Analysis. Preprints2024, 2024100412. https://doi.org/10.20944/preprints202410.0412.v1
Suzuki, Y.; Mizukami, Y.; Bao, Y. Leaf Vein Analysis of Different Plant Species Using Multifractal Analysis. Preprints 2024, 2024100412. https://doi.org/10.20944/preprints202410.0412.v1
Suzuki, Y.; Mizukami, Y.; Bao, Y. Leaf Vein Analysis of Different Plant Species Using Multifractal Analysis. Preprints2024, 2024100412. https://doi.org/10.20944/preprints202410.0412.v1
APA Style
Suzuki, Y., Mizukami, Y., & Bao, Y. (2024). Leaf Vein Analysis of Different Plant Species Using Multifractal Analysis. Preprints. https://doi.org/10.20944/preprints202410.0412.v1
Chicago/Turabian Style
Suzuki, Y., Yuka Mizukami and Yue Bao. 2024 "Leaf Vein Analysis of Different Plant Species Using Multifractal Analysis" Preprints. https://doi.org/10.20944/preprints202410.0412.v1
Abstract
Understanding plant species and community status is the most fundamental step in assessing biodiversity and considering environmental conservation, and these depend on the identification of plant species. Plant identification is usually done manually using botanical illustrations, but due to the diversity of plant species, identifying a single species from among many candidates listed in illustrated books is a labor-intensive and time-consuming task, even for experts. Against this background, systems for automatic plant species recognition are in demand by experts and amateurs alike. In this study, we proposed a method for automatic plant identification by applying multifractal analysis to images of leaf veins, including veinlets. In the experiment, we conducted two experiments: one to see if there is a change in the number of dimensions depending on the degree of leaf growth, and the other to see how the number of dimensions changes depending on the taxonomic group. As a result, there was almost no change depending on the degree of growth, and the number of dimensions varied depending on the taxonomic group, suggesting that different taxonomic groups can be classified into different taxonomic groups, suggesting that multifractal analysis can be applied to leaf vein images, including veinlets, to enable automatic plant identification.
Keywords
fractal analysis; multi fractal; image analysis; plant identification
Subject
Computer Science and Mathematics, Analysis
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
