Recent Advances in De-Noising Methods and Their Applications in Hyperspectral Image Processing for the Food Industry-Reference-Cited by-同舟云学术

Recent Advances in De-Noising Methods and Their Applications in Hyperspectral Image Processing for the Food Industry

Published:2014-10-20 Issue:6 Volume:13 Page:1207-1218
ISSN:1541-4337
Container-title:Comprehensive Reviews in Food Science and Food Safety
language:en
Short-container-title:COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY

Author:

Dai Qiong¹²,Sun Da-Wen¹²,Cheng Jun-Hu¹²,Pu Hongbin¹²,Zeng Xin-An¹²,Xiong Zhenjie¹²

Affiliation:

1. College of Light Industry and Food Sciences; South China Univ. of Technology; Guangzhou 510641 China

2. Food Refrigeration and Computerized Food Technology; Agriculture and Food Science Centre; Univ. College Dublin; National Univ. of Ireland; Belfield Dublin 4 Ireland

Publisher

Wiley

Subject

Food Science

Reference100 articles.

1. Principal component analysis;Abdi;WIREs Comput Statist,2010

2. Practical issues of hyperspectral imaging analysis of solid dosage forms;Amigo;Anal Bioanal Chem,2010

3. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis;Araújo;Chemometr Intell Lab,2001

4. Supervised classification of bruised apples with respect to the time after bruising on the basis of hyperspectral imaging data;Baranowski;Postharvest Biol Technol,2013

5. Predicting quality and sensory attributes of pork using near-infrared hyperspectral imaging;Barbin;Anal Chim Acta,2012

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