Using a Combination of Spectral and Textural Data to Measure Water-Holding Capacity in Fresh Chicken Breast Fillets

Using a Combination of Spectral and Textural Data to Measure Water-Holding Capacity in Fresh Chicken Breast Fillets

The aim here was to explore the potential of visible and near-infrared (Vis/NIR) hyperspectral imaging (400–1000 nm) to classify fresh chicken breast fillets into different water-holding capacity (WHC) groups. Initially, the extracted spectra and image textural features, as well as the mixed data of...

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Bibliographic Details
Main Authors: Beibei Jia, Wei Wang, Seung-Chul Yoon, Hong Zhuang, Yu-Feng Li
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Applied Sciences
Subjects:
chicken breast fillet
water-holding capacity (WHC)
gray-level co-occurrence matrix (GLCM)
texture
partial least square-discriminant analysis (PLS-DA)
Online Access:http://www.mdpi.com/2076-3417/8/3/343

Internet

http://www.mdpi.com/2076-3417/8/3/343

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