Luigi Ferrigno

TL;DR: This methodology, based on a balancing between processing and transmission tasks, can be applied in all those situations where subjective image based measurements are required and tries to find the best compression ratio able to give a significant reduction of transmission time.

TL;DR: A method for the reliable estimation of crack shape and dimensions in conductive materials using a suitable nondestructive instrument based on the eddy current principle and machine learning system postprocessing is proposed.

TL;DR: A novel measurement method able to improve the characterization of the crack depth is proposed based on the use of a suitable multi-frequency excitation signals and of digital signal processing algorithms.

TL;DR: In this paper, the suitability of each excitation method with respect to the extraction of defects geometrical features is highlighted. And the authors propose to combine the various excitation signals with image processing to improve the defect detection capability when difficult cases are experienced (such as annealed and small cracks) and to extract more accurate information about the defect's geometric characteristics.

TL;DR: The main goal of the proposal is the realization of a very low cost instrument that is able to reach performance comparable with instrumentation available on the market and especially suited for application fields such as aerospace and maritime.