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Microalgae-enriched biscuit discrimination using image texture features and Artificial Intelligence (AI) algorithms

delete2026-03-04
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PRE
AI
E
Ewa Ropelewska *
E
Etiele Greque De Morais
E
Enrica Uggetti
D
Diana Paguay
F
Francisco Sepulcre
Z
Zein Kallas
DOI:10.1016/j.algal.2026.104627delete
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摘要

摘要

En 中文
• 基于AI的图像纹理分析以高精度对富集衣藻的饼干进行了分类。 • 子空间判别模型在饼干分类中达到了97.86%的正确率。 • 富含绿衣藻的饼干被AI模型最准确地分类。 • 含2.5%和5%黄衣藻的饼干显示出最高的分类重叠。
Keyword:
AI-based image texture analysis
subspace discriminant model
Chlorella-enriched biscuits
biscuit classification
image texture features

期刊

A
Algal Research
IF:
1.6
论文数:
600
被引数:
2

机构

U
universitat politecnica de catalunya
学者数:
1.9W
论文数: 1.6W
被引数: 17
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