Machine inspection of biscuit bake

Leonard Hamey, A Watson, Tas Westcott

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

A prototype system for automated assessment of biscuit bake has been developed. The system employs monochrome imaging and histogramming techniques to classify product samples as underbaked, correctly baked or overbaked. Two products have been investigated. Product ``A'' exhibits uneven browing due to the formation of blisters. An intensity histogram suitably characterises the overall browning and the prototype system classifies samples of product ``A'' with an error rate comparable to that of a trained inspector. Product ``B'' browns most heavily on the perimeter on the biscuit. A boundary-distance histogram is used to classify samples of product ``B''. In this case also, the system performance is comparable with a trained inspector.
Original languageEnglish
Title of host publicationDICTA-93: Digital Image Computing: Techniques and Applications : conference proceedings
EditorsK Fung, A Ginige
PublisherAustralian Pattern Recognition Society
Pages124-129
Number of pages6
ISBN (Print)0646165224
Publication statusPublished - 1993
EventAustralian Pattern Recognition Society Conference (2nd : 1993) - Sydney, Australia
Duration: 8 Dec 199310 Dec 1993

Conference

ConferenceAustralian Pattern Recognition Society Conference (2nd : 1993)
CountryAustralia
CitySydney
Period8/12/9310/12/93

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Hamey, L., Watson, A., & Westcott, T. (1993). Machine inspection of biscuit bake. In K. Fung, & A. Ginige (Eds.), DICTA-93: Digital Image Computing: Techniques and Applications : conference proceedings (pp. 124-129). Australian Pattern Recognition Society.