Microwave technology has bee recently proposed as an innovative and safe tool for in-line food quality control aimed at the detection and imaging of possible contaminants in packaged food products. The main challenges related to this application of microwave imaging is represented by the required high resolution, for the detection of very small contaminant, and the short time window available for measuring data, dictated by the speed of the production line. In particular, this latter constraint allows to gather only a reduced number of data. In such a framework, this contribution investigate the capabilities of a compressive sensing based imaging algorithm to retrieve accurate and high resolution images despite the low number of available measurements.
Contaminants detection in industrial products through microwave imaging and compressive sensing techniques / Scapaticci, R.; Palmeri, R.; Ricci, M.; Vasquez, J. A. T.; Zappia, S.; Vipiana, F.; Crocco, L.. - (2023), pp. 248-250. [10.1109/EMTS57498.2023.10925317]
Contaminants detection in industrial products through microwave imaging and compressive sensing techniques
Palmeri R.;
2023-01-01
Abstract
Microwave technology has bee recently proposed as an innovative and safe tool for in-line food quality control aimed at the detection and imaging of possible contaminants in packaged food products. The main challenges related to this application of microwave imaging is represented by the required high resolution, for the detection of very small contaminant, and the short time window available for measuring data, dictated by the speed of the production line. In particular, this latter constraint allows to gather only a reduced number of data. In such a framework, this contribution investigate the capabilities of a compressive sensing based imaging algorithm to retrieve accurate and high resolution images despite the low number of available measurements.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
