Underground monitoring image sharpening device based on embedded system

Autor:	ZHOU Xue, WU Fangda, YANG Liuming
Jazyk:	čínština
Rok vydání:	2016
Předmět:	coal mine monitoring image image de-noising sharpening device wavelet threshold algorithm dsp embedded system Mining engineering. Metallurgy TN1-997
Zdroj:	Gong-kuang zidonghua, Vol 42, Iss 6, Pp 74-77 (2016)
Druh dokumentu:	article
ISSN:	1671-251X 1671-251x
DOI:	10.13272/j.issn.1671-251x.2016.06.018
Popis:	In view of problems of low illumination, a lot of dust and complex electromagnetic environment in coal mine underground, and images' quality captured by underground monitoring equipment would be reduced in transferring process caused by underground noises, an underground monitoring image sharpening device based on embedded system was designed. The device uses wavelet threshold algorithm and DSP embedded system, and it can effectively restrain noise, meanwhile keep details characteristics and peak point of original images, which greatly enhances monitoring image clarity.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/ea3e497b5aa447008e3334aa08da513a Zobrazit plný text záznamu View record in DOAJ