Pixel-Level Image Fusion Technique for Multi-Camera Car-Body Painting Defect Images

被引：0

作者：

Tantiphanwadi, Prapassorn ^{[1
]}

Ayudthya, Prapaisri Sudasna Na ^{[1
]}

机构：

[1] Kasetsart Univ, Fac Engn, Engn Program Ind Prod Technol, Bangkaen Campus, Bangkok 10900, Thailand

来源：

TENTH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING SYSTEMS, 2019 | 2019年 / 11071卷

关键词：

Car-body painting defects; pixel-by-pixel; maximum fusion method; wavelet fusion method;

D O I：

10.1117/12.2516158

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In automated visual inspection of car-body painting defects, the information quality of defect image is difficult to acquire because of light properties, interference and diffraction. The research, with experimental setup imitating automotive painting production line, acquires some of one light source images taken by 24.2 million pixels digital camera. All images are fused by two pixel-by-pixel fusion methods. Maximum fusion method concerns every pixel in which the pixel, with maximum intensity, is selected. Wavelet fusion method, we merge the two images at decomposition level 1, using db2, taking the maximum for approximation and the maximum for detail. The resulted fusion images of both methods are able to provide some painting defects, such as dust, sagging and peel-off, with useful information of shapes and dimensions.

引用

页数：6