基于独立分量分析的热波检测图像增强  

Image Enhancement of Thermal Waving Inspection Based on Independence Component Analysis

作　　者：王冬冬[1] 张炜[1] 杨正伟[1] 田干[1] 

机构地区：[1]第二炮兵工程大学602室,西安710025

出　　处：《科学技术与工程》2013年第2期512-515,521,共5页Science Technology and Engineering

基　　金：国家自然科学基金(51075390;51275518);陕西省自然科学基金(2012JQ8018)资助

摘　　要：热波检测中直接获取的原始热图序列存在"高噪声、低对比度"等问题。为了抑制噪声的不良影响,提高热波方法检测缺陷的能力,基于独立分量分析方法对试验获取的热波图像进行增强去噪处理,采用性能指数对图像的增强效果进行评价。图像增强结果表明该算法较好地保留了原图像的信息,获得了较好的去噪效果。Raw thermal image sequences acquired by thermal waving inspection （TWI） usually have low sxgna3 noise ratio and temperature contrast. In order to restrain the bad effects of noise and improve the defect detecting ability of thermography, image enhancement method based on independence component analysis was carried out here to enhance the TWI image sequence. The results indicates that much better reserve the information of the TWI images and denoise effect by using this algorithm.

关 键 词：独立分量分析 热波检测 图像增强 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]