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|Title: ||Quality inspection of food packaging seals using machine vision with texture analysis|
|Authors: ||Kerr, David|
Jackson, Michael R.
Parkin, Robert M.
|Keywords: ||Machine vision|
|Issue Date: ||2004|
|Publisher: ||© IMechE|
|Citation: ||KERR, D. ... et al, 2004. Quality inspection of food packaging seals using machine vision with texture analysis. Proceedings of I MECH E Part I Journal of Systems & Control Engineering, 219(3), pp. 321-237.|
|Abstract: ||This paper presents a machine vision approach to inspecting the integrity of semirigid
polymer food packages sealed using a new laser-based sealing system. This new technique for food
package sealing seeks to make significant improvements to existing manufacturing methods to meet
the industry’s requirements for rapid response to retail customers, while maintaining high quality,
through 100 per cent inspection, with low associated production costs. By analysing examples of
‘good’ and ‘bad’ seal images, seal uniformity has been examined and associated with numerical
quality measures. Statistical texture analysis is utilized in order to distinguish between good and
bad seal conditions. A minimum distance classifier and an artificial neural network have been
used to accept the segmented texture parameters as inputs and to output the seal quality decision.
The method is shown to have a high success rate provided that illumination conditions remain
|Description: ||This is Restricted Access. The article was published in the journal, Proceedings of the I Mech Eng Part I: Journal of Systems and Control Engineering, and is available at: http://journals.pepublishing.com/openurl.asp?genre=journal&issn=0959-6518.|
|Appears in Collections:||Closed Access (Mechanical, Electrical and Manufacturing Engineering)|
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