The chapter illustrates the benefits and improvements of the integration of the wavelet transform with multivariate data analysis upon multiresolution analysis. This approach can be used for feature extraction both in signals and images in a broad sense, focusing on the capability to simultaneously accomplish de-noising and feature enhancement / selection. Different contexts are presented, ranging from feature selection applied to spectroscopic signals in classification and regression tasks, to multiresolution multivariate image analysis with special attention to quality monitoring, fault detection and classification. The proposed cases of study cover applications in the food and materials sciences.

Multiresolution analysis and chemometrics for pattern enhancement and resolution in spectral signals and images / Li Vigni, Mario; Cocchi, Marina. - STAMPA. - 30(2016), pp. 409-451. [10.1016/B978-0-444-63638-6.00013-9]

Multiresolution analysis and chemometrics for pattern enhancement and resolution in spectral signals and images

LI VIGNI, Mario;COCCHI, Marina
2016

Abstract

The chapter illustrates the benefits and improvements of the integration of the wavelet transform with multivariate data analysis upon multiresolution analysis. This approach can be used for feature extraction both in signals and images in a broad sense, focusing on the capability to simultaneously accomplish de-noising and feature enhancement / selection. Different contexts are presented, ranging from feature selection applied to spectroscopic signals in classification and regression tasks, to multiresolution multivariate image analysis with special attention to quality monitoring, fault detection and classification. The proposed cases of study cover applications in the food and materials sciences.
Resolving Spectral Mixtures, with Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging
Ruckebusch, Cyril
9780444636386
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Multiresolution analysis and chemometrics for pattern enhancement and resolution in spectral signals and images / Li Vigni, Mario; Cocchi, Marina. - STAMPA. - 30(2016), pp. 409-451. [10.1016/B978-0-444-63638-6.00013-9]
Li Vigni, Mario; Cocchi, Marina
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Descrizione: Multiresolution Analysis and Chemometrics for Pattern Enhancement and Resolution in Spectral Signals and Images
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/1104928
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