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Proceedings Paper

Pixel-level image fusion technique for multi-camera car-body painting defect images
Author(s): Prapassorn Tantiphanwadi; Prapaisri Sudasna na Ayudthya
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Paper 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.

Paper Details

Date Published: 17 April 2019
PDF: 6 pages
Proc. SPIE 11071, Tenth International Conference on Signal Processing Systems, 110710L (17 April 2019); doi: 10.1117/12.2516158
Show Author Affiliations
Prapassorn Tantiphanwadi, Kasetsart Univ. (Thailand)
Prapaisri Sudasna na Ayudthya, Kasetsart Univ. (Thailand)

Published in SPIE Proceedings Vol. 11071:
Tenth International Conference on Signal Processing Systems
Kezhi Mao; Xudong Jiang, Editor(s)

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