Paper
17 April 2019 Pixel-level image fusion technique for multi-camera car-body painting defect images
Prapassorn Tantiphanwadi, Prapaisri Sudasna na Ayudthya
Author Affiliations +
Proceedings Volume 11071, Tenth International Conference on Signal Processing Systems; 110710L (2019) https://doi.org/10.1117/12.2516158
Event: Tenth International Conference on Signal Processing Systems, 2018, Singapore, Singapore
Abstract
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.
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Prapassorn Tantiphanwadi and Prapaisri Sudasna na Ayudthya "Pixel-level image fusion technique for multi-camera car-body painting defect images", Proc. SPIE 11071, Tenth International Conference on Signal Processing Systems, 110710L (17 April 2019); https://doi.org/10.1117/12.2516158
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KEYWORDS
Image fusion

Cameras

RGB color model

Wavelets

Image processing

Inspection

MATLAB

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