摘要
针对回转窑表面的红外图像模糊,图像细节不易分辨的问题,提出一种基于视觉特性的回转窑表面红外热图像增强方法。该方法利用人眼在不同灰度级的分辨能力差异,将回转窑表面的红外图像灰度映射到人眼易分辨区域,从而提高人眼对图像细节的分辨能力。实验结果表明:提出的方法能够凸显红外图像边缘,及时反映窑内的高低温区域,对避免异常高温引起的红窑事故、保障窑炉经济高效地运行具有重要意义。
Aiming at the problem that the infrared image of rotary kiln surface is fuzzy and the image details are not easy to distinguish,an infrared thermal image enhancement method is proposed based on the visual characteristics of rotary kiln surface.In this method,the infrared image gray level of the rotary kiln surface is mapped to the easily distinguishable area of the human eye by utilizing the difference of the resolution ability of the human eye in different gray levels,so as to improve the resolution ability of the human eye to the image details.The experimental results show that the method can highlight the edge of infrared image and reflect the high and low temperature area in the kiln in time.It is of great significance to avoid the red kiln accident caused by abnormal high temperature and ensure the kiln to operate economically and efficiently.
作者
代少升
李松葵
DAI Shaosheng;LI Songkui(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,CHN)
出处
《半导体光电》
CAS
北大核心
2021年第1期82-86,共5页
Semiconductor Optoelectronics
基金
国家自然科学基金项目(61671094)。
关键词
回转窑
人眼视觉特性
图像增强
红外扫描测温系统
rotary kiln
human visual characteristics
image enhancement
infrared scanning temperature measurement system
