多尺度高帽变换的红外图像增强优化算法  

Infrared Image Enhancement Optimization Algorithm Based on Multi-scale Top-hat Transformation

作　　者：刘莉[1,2] 靳鸿[1,2] 唐波[3,4] 陆真[1,2] 李志敏[1,2] 

机构地区：[1]中北大学电子测试技术国家重点实验室,山西太原030051 [2]中北大学仪器科学与动态测试教育部重点实验室,山西太原030051 [3]北京航天自动控制研究所,北京100854 [4]宇航智能控制技术国防科技重点实验室,北京100854

出　　处：《探测与控制学报》2015年第3期66-69,共4页Journal of Detection & Control

摘　　要：针对红外图像对比度较低而难以增强目标区域的问题,对形态学中传统的高帽变换图像增强算法进行优化,提出了多尺度高帽变换的红外图像增强优化算法。该算法利用多尺度的结构元素提取不同红外图像上的明亮或暗淡信息,实现红外图像对比度的增强。实验结果表明,提出的算法可以很好地增强红外图像上的目标区域,可有效应用于红外图像增强的场合。Aiming at the problem that it is difficult to enhance the target region of the infrared image with low contrast,the traditional morphological top-hat transformation algorithm was improved in this paper,and an optimization algorithm for enhancement of infrared image based on multi-scale top-hat transformation was put forward.To realize the contrast enhancement of the infrared images,multi-scale structural elements was used to extract bright or dim image information in different infrared images.Experimental results indicated that the proposed algorithm could well enhance the target area of infrared images.

关 键 词：高帽变换 多尺度 红外图像 图像增强 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]