计算机与数字工程2019，Vol.47Issue(2)：428-430,450,4.DOI:10.3969/j.issn.1672-9722.2019.02.034
结合直方图均衡和模糊集理论的红外图像增强研究
Study of Infrared Image Enhancement Based on Histogram Equalization and Fuzzy Set Theory
摘要
Abstract
Currently in use range photoelectric measuring equipment in the process of acquisition,the infrared image is often not clear,lack of high contrast edges and other issues,which has a serious influence the quality of image acquisition. So by trying to histogram equalization and mutual combination of the fuzzy set theory,which can make the image under the logarithmic membership functions,and complete it to fuzzy field,then iterative nonlinear transform can get more clear edge. Finally by using histogram equalization algorithm for infrared image can have a higher contrast ratio,in order to achieve the enhancement purpose to the infra?red image. By the final experiment analysis,the combination of histogram equalization and fuzzy set theory can effectively enhance infrared image,improve problems that the edge is not clear,and it has good application effectiveness.关键词
直方图均衡/模糊集理论/红外图像/图像增强Key words
histogram equalization/fuzzy set theory/infrared image/image enhancement分类
信息技术与安全科学引用本文复制引用
李杨,闫岩..结合直方图均衡和模糊集理论的红外图像增强研究[J].计算机与数字工程,2019,47(2):428-430,450,4.
