Catalin Amza

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This paper discusses the use of neural networks for the classification of potential defects found in x-ray images of chicken breast meat after the de-boning process. The chicken meat is passed under a solid-state x-ray sensor which acquires a two dimensional image of the chicken breast. A series of image processing operations are applied to the acquired(More)
The contaminant detection process of a food product is an important stage of a modem food production factory. The automatic detection of bones in raw chicken breast meat is a major problem. This paper presents a fuzzy reasoning algorithm for post-processing the segmented images of dual-band X-ray images of raw chicken breast. The results show that bone(More)
The aim of the experimental study described in this paper was Lamb wave method evaluation for damage/ defects detection of epoxi/glass composites. Can be used piezoelectric transducers actuator/sensor glued on the surface of investigated composite, using transmission mode. The chosen control parameter was the sensor signal attenuation because of defects(More)
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