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 language | English |
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| Title of host publication | DICTA-93: Digital Image Computing: Techniques and Applications : conference proceedings |
| Editors | K Fung, A Ginige |
| Publisher | Australian Pattern Recognition Society |
| Pages | 124-129 |
| Number of pages | 6 |
| ISBN (Print) | 0646165224 |
| Publication status | Published - 1993 |
| Event | Australian Pattern Recognition Society Conference (2nd : 1993) - Sydney, Australia Duration: 8 Dec 1993 → 10 Dec 1993 |
Conference
| Conference | Australian Pattern Recognition Society Conference (2nd : 1993) |
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| Country/Territory | Australia |
| City | Sydney |
| Period | 8/12/93 → 10/12/93 |