Spotting a perfect pizza is apparently too challenging for us mere mortals. Lamenting the “inaccuracy and subjectivity” of quality controllers in pizza factories, Da-Wen Sun and Tadhg Brosnan of the National University of Ireland in Dublin say the task demands a more rigorous mathematical approach best done by a machine. They have turned to fuzzy logic and designed algorithms that can analyse snapshots of pizzas from digital cameras and automatically pick out rejects – the ones that just don’t look tasty enough. In two papers in the Journal of Food Engineering (vol 57, p 81 and p 91), they…
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