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Featured researches published by Xuan Chu.


Journal of Innovative Optical Health Sciences | 2017

Identifying camellia oil adulteration with selected vegetable oils by characteristic near-infrared spectral regions

Xuan Chu; Wei Wang; Chunyang Li; Xin Zhao; Hongzhe Jiang

In this paper, a methodology based on characteristic spectral bands of near infrared spectroscopy (1000–2500nm) and multivariate analysis was proposed to identify camellia oil adulteration with veg...


Advances in Mechanical Engineering | 2014

Rapid Detection Method of Moldy Maize Kernels Based on Color Feature

Xuan Chu; Yong Tao; Wei Wang; Ying Yuan; Mingjie Xi

In order to find the moldy maize kernels quickly, a method based on machine vision was proposed in this paper. Firstly, images of maize kernels were taken by the moldy maize sorting equipment, and three parts of every kernel, that is, moldy plaques, healthy endosperm and healthy embryo, were selected from these images. Then a threshold was set in R channel by analyzing color features of those three parts in RGB model. In this method, moldy plaques can be identified roughly. After that the location of the moldy plaques on the kernels was studied, a circle, whose centre was approximately the centroid of a maize kernel and diameter was about the width of embryos, was set to exclude the interference caused by shadow. This method, with the accuracy of 92.1%, laid a good foundation for the further study of moldy maize sorting equipment.


Applied Sciences | 2017

Early Detection of Aspergillus parasiticus Infection in Maize Kernels Using Near-Infrared Hyperspectral Imaging and Multivariate Data Analysis

Xin Zhao; Wei Wang; Xuan Chu; Chunyang Li; Daniel Kimuli


Applied Sciences | 2018

Evaluation of Near-Infrared Hyperspectral Imaging for Detection of Peanut and Walnut Powders in Whole Wheat Flour

Xin Zhao; Wei Wang; Xinzhi Ni; Xuan Chu; Yufeng Li; Changpo Sun


Journal of Innovative Optical Health Sciences | 2018

Evaluation of growth characteristics of Aspergillus parasiticus inoculated in different culture media by shortwave infrared (SWIR) hyperspectral imaging

Xuan Chu; Wei Wang; Xinzhi Ni; Haitao Zheng; Xin Zhao; Hong Zhuang; Kurt C. Lawrence; Chunyang Li; Yufeng Li; Chengjun Lu


Infrared Physics & Technology | 2018

Application of SWIR hyperspectral imaging and chemometrics for identification of aflatoxin B1 contaminated maize kernels

Daniel Kimuli; Wei Wang; Hongzhe Jiang; Xin Zhao; Xuan Chu


2018 Detroit, Michigan July 29 - August 1, 2018 | 2018

Research on the nondestructive detection of egg freshness based on image processing

Haodong Qin; Wei Wang; Xuan Chu; Hongzhe Jiang; Xin Zhao; Beibei Jia; Yi Yang; Daniel Kimuli; Aijun Dong; Bo Wang; Xiwei Bai


2018 Detroit, Michigan July 29 - August 1, 2018 | 2018

Research on Classification Method of Cotton Seeds on Machine Vision

Xiwei Bai; Wei Wang; Hongzhe Jiang; Xuan Chu; Xin Zhao; Bo Wang; Aijun Dong; Haodong Qin


2018 Detroit, Michigan July 29 - August 1, 2018 | 2018

Rapid Classification of Corn Varieties by Using Near Infrared Spectroscopy

Aijun Dong; Wei Wang; Xin Zhao; Xuan Chu; Bo Wang; Xiwei Bai; Haodong Qin; Hongzhe Jiang; Beibei Jia; Yi Yang; Daniel Kimulia


2018 Detroit, Michigan July 29 - August 1, 2018 | 2018

Rapid and nondestructive quantification of cassava starch adulterants in potato starch by using hyperspectral imaging

Xin Zhao; Wei Wang; Xuan Chu; Hongzhe Jiang; Beibei Jia; Yi Yang; Daniel Kimuli; Haodong Qin; Aijun Dong

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Wei Wang

China Agricultural University

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Xin Zhao

China Agricultural University

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Hongzhe Jiang

China Agricultural University

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Daniel Kimuli

China Agricultural University

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Yi Yang

China Agricultural University

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Beibei Jia

China Agricultural University

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Haitao Zheng

China Agricultural University

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Hong Zhuang

Agricultural Research Service

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Mingjie Xi

China Agricultural University

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Ying Yuan

China Agricultural University

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