可见光和近红外熔池图像融合方法
Research on image fusion method of visible and near infrared weld pool
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摘要: 为了获取质量信息更佳的熔池图像，设计用分束镜将采集的同一路光源平均传输给两个相机，利用同步触发装置，建立了可见光和近红外熔池图像同路光源同步采集系统. 由于两个相机的图像之间具有不同的形变，提出了基于仿射变换的熔池图像配准方法，配准了可见光和近红外熔池图像. 在此基础上，提出了基于主成分分析的图像融合方法对可见光和近红外熔池图像进行图像融合. 结果表明，与加权平均融合，亮度色度饱和度融合和小波融合等传统图像融合方法相比，主成分分析图像融合方法最有效，得到的熔池图像质量最好.Abstract: In order to obtain weld pool images with better quality information, a beam splitter was used to transmit the single light source to two cameras. With the synchronous triggering device, a synchronous acquisition system of visible and near infrared weld pool images was established. Due to the different deformations between the images of the two cameras, an image registration method is proposed based on affine transformation to registere the visible and near infrared images of the weld pool. Then the image fusion method is also proposed based on principal component analysis. Compared with the traditional image fusion methods, weighted average fusion, IHS fusion and wavelet fusion, the principal component analysis image fusion method is the most effective and the best weld pool image quality is obtained.
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