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- Title
Multivariate Bayesian cognitive modeling for unsupervised quality control of baked pizzas.
- Authors
Mantelli Neto, Sylvio; Aguiar, Daniel; Santos, Bianca; Wangenheim, Aldo
- Abstract
The present article describes a Bayesian multivariate methodology developed for unsupervised quality control of pizzas based on RGB color attributes. A sensory experiment was done to define the readiness point ground truth. During the validation phase, different pizza samples were baked at a different temperature. The cheese and crust color patterns were statistically compared against the ground truth to check the readiness point. Results show that the proposed methodology presents a good performance demonstrating that color attributes can be used as an unsupervised quality control using traditional statistical methods.
- Subjects
BAYESIAN analysis; QUALITY control; ANALYSIS of colors; ELECTRONIC color sensors; STATISTICS methodology; MULTIVARIATE analysis
- Publication
Machine Vision & Applications, 2012, Vol 23, Issue 3, p491
- ISSN
0932-8092
- Publication type
Article
- DOI
10.1007/s00138-011-0339-7