High Throughput Multispectral Image Processing with Applications in Food Science.

ABSTRACT: Recently, machine vision is gaining attention in food science as well as in food industry concerning food quality assessment and monitoring. Into the framework of implementation of Process Analytical Technology (PAT) in the food industry, image processing can be used not only in estimation and even prediction of food quality but also in detection of adulteration. Towards these applications on food science, we present here a novel methodology for automated image analysis of several kinds of food products e.g. meat, vanilla crème and table olives, so as to increase objectivity, data reproducibility, low cost information extraction and faster quality assessment, without human intervention. Image processing's outcome will be propagated to the downstream analysis. The developed multispectral im

SUBMITTER: Tsakanikas P 

PROVIDER: S-EPMC4605757 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature