摘要
提出了基于遗传算法的红外热像数据拟合方法,并运用试验对其进行了验证。结果表明,该方法能够明显地抑制噪声和加热不均匀现象,增强缺陷的对比度,并且处理效果明显优于一般多项式拟合方法,是一种具有潜在应用价值的红外热像数据处理方法。
The infrared thermal imaging data fitting method was presented based on the genetic algorithm, and the effect of this method was demonstrated by experhnent. The results showed that the method could suppress noise and heating non uniformity remarkably, and the contrast of defects could be enhanced. The effect of this method was superior to that of the general polynomial fitting method, and it had potential applications in infrared image data processing.
出处
《无损检测》
2012年第10期38-41,共4页
Nondestructive Testing
基金
自然科学基金资助项目"SRM壳体多层结构热波传导特性及缺陷定量识别方法研究"(51075390)
关键词
遗传算法
红外热像
数据拟合
Genetic algorithms
Infrared thermal imaging
Data fitting
