Machine Learning Approach for Frozen Tuna Freshness Inspection Using Low-Frequency A-Mode Ultrasound
Akira Sakai,
Masafumi Yagi,
Suguru Yasutomi
et al.
Abstract:Despite the ubiquity of ultrasonography in nondestructive inspection, its application to highattenuation materials is challenging. At frequencies less than 1 MHz, ultrasound can inspect high-attenuation materials owing to its high penetration ability. Such ultrasound data are acquired using a single-element transducer that generates single-channel signals (A-mode). However, low-frequency A-mode ultrasound signals have low resolution caused by long wavelengths, and less information than B-mode images generated … Show more
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