Abstract
Sequential morphological operations are capable of extracting signal features while suppressing random noise and undesired signal patterns (e.g., speckles in ultrasonic imaging). They utilize a structuring element which interacts with the signal in order to suppress noise and enhance certain desirable information. In this paper we identify a group of sequential morphological processors that exhibit a performance similar to lowpass, bandpass and highpass filters. Furthermore, a class of morphological processors are presented which offer peak detection and edge detection. Deterministic and stochastic properties of combinational (parallel and/or serial) morphological processors have been studied. In particular, the information content of ultrasonic signals has been used to design a suitable structuring element with optimal performance. The results obtained by applying morphological processors to experimental ultrasonic signals show that combinational morphological processors can improve flaw detection when the signal is contaminated by impulsive thermal noise and/or microstructure scattering echoes.
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© 1994 Springer Science+Business Media Dordrecht
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Saniie, J., Mohamed, M.A., Chin, K.K. (1994). Design of Morphological Processors for Ultrasonic Nondestructive Evaluation of Materials — A Review. In: Maldague, X.P.V. (eds) Advances in Signal Processing for Nondestructive Evaluation of Materials. NATO ASI Series, vol 262. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1056-3_9
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DOI: https://doi.org/10.1007/978-94-011-1056-3_9
Publisher Name: Springer, Dordrecht
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