Applications of hyperspectral and optical scattering imaging technique in the detection of food microorganism Online publication date: Tue, 26-Jun-2018
by Jing Xu; Long Ma; Jie Wu; Xiaomeng Xu; Ye Sun; Qiang Liu; Leiqing Pan; Kang Tu
International Journal of Computational Vision and Robotics (IJCVR), Vol. 8, No. 3, 2018
Abstract: Food is very easy to contaminate microorganism during production, processing, storage and transportation, the mass propagation of microorganism can cause food deterioration so that the food-borne pollution and food poisoning will occur with a serious threat to human health. However, the traditional methods for microorganism detection are complicated in process, poor in timeliness or low in sensitivity and are hard to meet the increasing requirements of the rapid and accurate detection, becoming the bottleneck for food quality and safety detection. With collecting the relevant information, then algorithm processing information and finally the relevant models, the modern optical imaging technique can achieve the rapid detection of food quality information. This article reviews in detail the latest developments of hyperspectral imaging and optical scattering techniques in the non-destructive detection of the food microbial contamination and discusses the advantages and deficiency of the various techniques.
Online publication date: Tue, 26-Jun-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Vision and Robotics (IJCVR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org