Lincoln University Research Archive LAND where you want to be

Lincoln University > Research Archive > Faculty of Environment, Society and Design > Environment, Society and Design series collections > Applied Computing Research Report series >

Cite or link to this item using this URL:

Title: Determination of fat content in retail ready meat samples using image analysis
Author: Chandraratne, M. R.
Samarasinghe, Sandhya
Kulasiri, Don
Isherwood, P.
Bekhit, A. E. D.
Bickerstaffe, R.
Date: Aug-2003
Publisher: Lincoln University. Applied Computing, Mathematics and Statistics Group.
Series/Report no.: Research report (Lincoln University (Canterbury, N.Z.). Applied Computing, Mathematics and Statistics Group) ; no. 05/2003
Item Type: Monograph
Abstract: As a result of constantly growing consumer expectations for meat quality, the meat industry is placing more and more emphasis on quality assurance issues. Fat content in meat influences some important meat quality parameters and meat marketability. Visible fat includes marbling (intramuscular) and intermuscular fat. Chemical analysis is currently used to determine the fat percentage in meat. However, this is a tedious, expensive and time-consuming method. Some measurements, like the number, size distribution and spatial distribution of marbling, are totally impossible by chemical analysis. For the meat industry, it is very useful to have an accurate, reliable, cost effective, fast and nondestructive technique to determine the fat content. Computer vision has enormous potential for evaluating meat quality because image processing and analysis techniques can quantitatively and consistently characterize complex geometric, colour and textural properties. The objectives of the present study were: a) to apply image processing techniques to quantify fat content of beef and lamb steaks; b) to develop a relationship between the chemical fat content and the fat content measured by image analysis.
Persistent URL (URI):
ISSN: 1174-6696
Appears in Collections:Applied Computing Research Report series

Files in this Item

File Description SizeFormat
ac_rr_2003_05.pdf319.17 kBAdobe PDFView/Download

Recommend this item

Copyright in individual works within the Research Archive belongs to their authors and/or publishers. You may make a print or digital copy of a work for your personal non-commercial use. Unless otherwise indicated, all other rights are reserved, except for other user rights granted by the copyright laws of your country.
If you believe that copyright is being infringed by material available in this archive, contact us and we will investigate.