Title :
An image processing method based on wavelet decomposition and image enhancement for blast furnace infrared image
Author :
Yin, Zhu ; Min, Wu ; Weihua, Cao ; Yong, He
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha
Abstract :
In this paper, an image processing method based on wavelet decomposition and image enhancement is proposed to hand of the issues that there is much noise and uneven distribution of light source and light intensity, in blast furnace infrared images. Firstly, Mallat algorithm is employed to decompose blast furnace infrared images into wavelet details and lower frequency part. Then, improved threshold filtering algorithm is presented to process wavelet details, and Retinex algorithm is used to adjust the intensity of the lower frequency part. Finally, high quality blast furnace infrared images with clear texture feature are obtained by imaging synthesis process of wavelet details and lower frequency part. As a result, the presented method is applied to the process of blast furnace infrared images in some iron enterprise and the efficiency and merits are shown.
Keywords :
blast furnaces; filtering theory; image enhancement; image texture; infrared imaging; metallurgical industries; production engineering computing; wavelet transforms; blast furnace infrared image; image enhancement; image processing method; imaging synthesis process; iron enterprise; texture feature; threshold filtering algorithm; wavelet decomposition; Blast furnaces; Centralized control; Electronic mail; Filtering algorithms; Frequency; Helium; Image enhancement; Image processing; Infrared imaging; Lighting control; Blast furnace; Image enhancement; Infrared images; Retinex algorithm; Wavelet decomposition;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605368
