DocumentCode :
1854517
Title :
Automatic visual inspection using the co-occurrence approach
Author :
Tobias, Orlando J. ; Seara, Rui ; Soares, F.A.P. ; Bermude, JOSE C M
Author_Institution :
Dept. de Engenharia Eletrica, Univ. Federal de Santa Catarina, Florianopolis, Brazil
Volume :
1
fYear :
1995
fDate :
13-16 Aug 1995
Firstpage :
154
Abstract :
This paper describes an algorithm which uses machine-vision techniques to perform automatic visual inspection tasks in the industry of ceramic tiles. This algorithm uses difference statistics to analyze images of ceramic tiles from the point of view of their texture contents
Keywords :
automatic optical inspection; ceramics; computer vision; image texture; statistical analysis; automatic visual inspection; ceramic tiles; co-occurrence approach; difference statistics; image analysis; machine-vision techniques; texture content; Algorithm design and analysis; Ceramics industry; Humans; Image analysis; Image texture analysis; Inspection; Machinery production industries; Manufacturing industries; Statistical analysis; Statistics; Symmetric matrices; Tiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
Type :
conf
DOI :
10.1109/MWSCAS.1995.504401
Filename :
504401
Link To Document :
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