Heating Patterns Recognition in Industrial Microwave-Processed Foods

Recognition or identification of hot and cold spot heating patterns in microwave-processed pre-packaged food products is crucial to determine experimental repeatability and design better and safer food treatment systems. This review focuses on computer vision-based methods for heating patterns recognition from the literature along with their limitations. A preliminary kinetics study to correlate colour to varied timetemperature combinations is also discussed.