By Topic

Eviscera identification using knowledge based image processing

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Gibbons, R.J. ; Meat Res. Lab., CSIRO, Cannon Hill, WA, Australia ; Williams, D.J.

The potential to use robotics and automation in the food sector is limited by the nonuniform nature of products. In the Advanced Slaughter Technology system developed by CSIRO Meat Research Laboratory eviscera is ejected automatically from the carcass and falls upon a moving stainless steel conveying system about two meters wide. This eviscera then has to be sorted and separated prior to inspection. In order to automate this operation the various elements within the eviscera have to be identified so that they can be automatically handled and separated. The eviscera contains all the internal organs of the animal including lungs, spleen, rumen, reticulum, omasum, abomasum, liver, kidneys, heart, intestines. Their edges are often non-distinct or obscured by blood making shape analysis difficult. Furthermore the basic properties of the eviscera such as colour and texture vary greatly making it hard to recognise them purely by pixel matching techniques. The authors look at the use of knowledge based image processing for eviscera identification

Published in:

Image Processing and its Applications, 1992., International Conference on

Date of Conference:

7-9 Apr 1992