Streamlined approaches for image classification using principal component analysis and hierarchical clustering of extrudates from coffee and sorghum blends

Streamlined approaches for image classification using principal component analysis and hierarchical clustering of extrudates from coffee and sorghum blends

ABSTRACTThis article describes simple methods to group images including principal component analysis (PCA) and hierarchical clustering of principal components (HCPC). Images of expanded and low expanded extrudates were processed using two optimization alternatives: a) image size reduction (from 2126...

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Bibliographic Details
Main Authors: Davy William Hidalgo Chávez, Felipe Leite Coelho Da Silva, Renan Vicente Pinto, Carlos Wanderley Piler De Carvalho, Otniel Freitas-Silva
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:CyTA - Journal of Food
Subjects:
Image classification
image analysis
principal component analysis
hierarchical clustering of principal components
Online Access:https://www.tandfonline.com/doi/10.1080/19476337.2023.2263513

Internet

https://www.tandfonline.com/doi/10.1080/19476337.2023.2263513

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