Detection of Defect Edge of Aluminum Foils Based on Fuzzy Enhancement and Wavelet Transform

DOI

10.2991/amsee-16.2016.71How to use a DOI?

Keywords

edge detection; wavelet transform; modulus maxima; fuzzy enhancement; multi-scale product

Abstract

In order to accurately detect the defects on the aluminum surface, including pinholes, yellow discoloration, oil stains, and scratches, an algorithm combining local fuzzy enhancement, wavelet transform modulus maxima (WTMM) and multi-scale product was proposed. First, the defect areas with low contrast, such as yellow discoloration and oil stains, were located in the HSI color space; then, the local fuzzy enhancement was performed on these edges, thereby highlighting the edge features and reducing the amount of computation; at last, the multi-scale product was calculated, and the binary image of defect edge on aluminum foil was obtained via WTMM. Plenty of experimental results showed that the proposed algorithm could extract clearer and more complete edges and effectively detect the defect edges with low contrast in the aluminum foil image, laying the foundation for the subsequent defect identification.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hui Wang
AU  - Huanhuan Li
AU  - Yongfa Ling
AU  - Hongyan Zhang
AU  - Xiangxu Xie
PY  - 2016/04
DA  - 2016/04
TI  - Detection of Defect Edge of Aluminum Foils Based on Fuzzy Enhancement and Wavelet Transform
BT  - Proceedings of the 2016 International Conference on Advanced Materials Science and Environmental Engineering
PB  - Atlantis Press
SP  - 269
EP  - 273
SN  - 2352-5401
UR  - https://doi.org/10.2991/amsee-16.2016.71
DO  - 10.2991/amsee-16.2016.71
ID  - Wang2016/04
ER  -