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http://dx.doi.org/10.6109/jkiice.2013.17.11.2486

Fault Detection of Ceramic Imaging using ART2 Algorithm  

Kim, Kwang Baek (Division of Computer and Information Engineering, Silla University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.17, no.11, 2013 , pp. 2486-2491 More about this Journal
Abstract
There are invisible defects by naked eyes in ceramic material images such as internal stomata, cracks and foreign substances. In this paper we propose a method to detect and extract such defects from ceramic pipe weld zone by applying ART2 learning. In pre-processing, we apply Ends-in Search Stretching to enhance the intensity and then perform fuzzy binarization with triangle type membership function followed by enhanced ART2 that interacts with random input patterns to extract such invisible defects. The experiment verifies that this proposed method is sufficiently effective.
Keywords
Ceramic Material Images; End_in Stretching; Fuzzy Binarization; Enhanced ART2;
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Times Cited By KSCI : 1  (Citation Analysis)
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