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Proceedings Paper

Application of signal processing based on mathematical morphology
Author(s): Jian Chen; Hong Chen; Xiaoxia Cai; Pengfei Weng; Hao Nie
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Paper Abstract

With the development of mathematical morphology theory, the application of mathematical morphology in image processing has been very extensive, in recent years, with in-depth study of mathematical morphology and its applications in signal processing development is receiving more and more attention. As a kind of nonlinear signal processing method, its signal feature extraction is performed in time domain, compared with some other nonlinear and non-stationary signal processing method, which has no phase offset and amplitude attenuation etc. many advantages, so this method is applied to the signal processing in various industries. This paper mainly expounds the basic theory of mathematical morphology, and puts forward the method of mathematical morphology denoising pretreatment. Finally, the paper summarizes the application of mathematical morphology in speech signal processing and the combination of neural network.

Paper Details

Date Published: 8 March 2017
PDF: 6 pages
Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 102553K (8 March 2017); doi: 10.1117/12.2267530
Show Author Affiliations
Jian Chen, Electronic Engineering Institute (China)
Hong Chen, Electronic Engineering Institute (China)
Xiaoxia Cai, Electronic Engineering Institute (China)
Pengfei Weng, Electronic Engineering Institute (China)
Hao Nie, Electronic Engineering Institute (China)


Published in SPIE Proceedings Vol. 10255:
Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016
Yueguang Lv; Jialing Le; Hesheng Chen; Jianyu Wang; Jianda Shao, Editor(s)

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