铸造技术2017，Vol.38Issue(10)：2510-2513,2522,5.DOI:10.16410/j.issn1000-8365.2017.10.052
Hilbert-Huang变换在熔融金属热图像降噪中的应用
Application of Hilbert-Huang Transform in Thermal Image Denoising of Molten Metal
摘要
Abstract
In using CCD colorimetry,the radiator and the inevitable radiation around the optical path of the smoke dust exists,it leaded to the existence of noise pollution images inevitably obtain the final result distortion.In order to improve the accuracy of temperature measurement of molten metal,built steel colorimetric temperature measurement experimental platform to obtain multiple images with differenttemperature conditions,temperature,temperature of molten metal image denoising using Hilbert-Huang transform.The results show that with Wiener denoising,wavelet denoising results compare to Hilbert-Huang transform image denoising method based on better remove the image noise,to restore the original image information,and improve the accuracy of measurement results.关键词
CCD测温/Hilbert-Huang变换/BEMD分解/图像去噪Key words
CCD temperature measurement/Hilbert-Huang transform/BEMD-decompose/image denoising分类
矿业与冶金引用本文复制引用
杨友良,刘晴晴,孟凡伟..Hilbert-Huang变换在熔融金属热图像降噪中的应用[J].铸造技术,2017,38(10):2510-2513,2522,5.基金项目
国家自然科学基金资助项目(61171058) （61171058）
