Distributional uniformity quantification in heterogeneous prepared dishes combined the hyperspectral imaging technology with Moran's I: A case study of pizza

被引：1

作者：

Gao, Peipei ^{[1
,2
,3
]}

Li, Wenlong ^{[1
,2
,3
]}

Hashim, Sulafa B. H. ^{[1
,2
,3
]}

Liang, Jing ^{[1
,2
,3
]}

Xu, Jialong ^{[1
,2
,3
]}

Huang, Xiaowei ^{[1
,2
,3
]}

Zou, Xiaobo ^{[1
,2
,3
]}

Shi, Jiyong ^{[1
,2
,3
]}

机构：

[1] Jiangsu Univ, Sch Food & Biol Engn, Agr Prod Proc & Storage Lab, Zhenjiang 212013, Jiangsu, Peoples R China

[2] Jiangsu Univ, Jiangsu Educ Dept, Int Joint Res Lab Intelligent Agr & Agriprod Proc, Zhenjiang 212013, Peoples R China

[3] Jiangsu Univ, Sch Food & Biol Engn, China Light Ind Key Lab Food Intelligent Detect &, Zhenjiang 212013, Peoples R China

来源：

FOOD CHEMISTRY | 2025年 / 466卷

基金：

中国国家自然科学基金;

关键词：

Prepared dishes; Distributional uniformity quantification; Hyperspectral imaging technology; Moran's I; GLCM; Machine learning; INTRAMUSCULAR FAT; MUSCLES;

D O I：

10.1016/j.foodchem.2024.141511

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

Quality detection is critical in the development of prepared dishes, with distributional uniformity playing a significant role. This study used hyperspectral imaging (HSI) and Moran's I to quantify distributional uniformity, employing pizza as case. Pizza ingredients' spectra were collected, pre-processed with Detrended Fluctuation Analysis (DFA), Savitzky-Golay (SG) and Standard Normal Variate (SNV), and down-scaled with Principal Component Analysis (PCA). Subsequently, the classifiers Fine Tree, Support Vector Machine (SVM), and KNearest Neighbors (KNN) were utilized, where KNN based on the DFA-processed data had the greatest accuracy of 99.2 %. This best-fit model was used to create visualization maps. At last, image analysis methods containing regional statistics, Grey Level Co-occurrence Matrix (GLCM) and Moran's I were used to measure distributional uniformity. Moran's I demonstrated great distinctiveness and accuracy, making it the best tool. Therefore, HSI and Moran's I combination proved feasible to indicate distributional uniformity, ensuring the high quality of prepared dishes.

引用

页数：9