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Proceedings Paper

Detection and automatic classification of defects in ceramic products
Author(s): Jeronimo Araujo Silva; Cassiano Paixao Pais; Jose Cabrita A. Freitas; Fernando D. Carvalho; Fernando Carvalho Rodrigues
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Paper Abstract

We present a method and its optical and digital processor for the detection of defects in glazed china bone plates. The method consists in exploring the properties of non-coherent plane polarized light to enhance optical defects whose diameter is larger than the maximum human eye resolution (0. 1 mm). Changes in glazing smaller than 0. 1 mm are not considered to be defects. The image is digitized after collection by a CCD camera. The board sees 8 bits of gray level and it has 512x512 pixels. The digitized image is further processed. We have employed morphological analysis in order to establish a figure of merit for each plate. The merit function is related with the number of defects, their color, and size. The quality classification in then readily obtained. The algorithms were implemented in a hardware configuration which is briefly outlined.

Paper Details

Date Published: 18 January 1993
PDF: 7 pages
Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); doi: 10.1117/12.138502
Show Author Affiliations
Jeronimo Araujo Silva, LNETI (Portugal)
Cassiano Paixao Pais, LNETI (Portugal)
Jose Cabrita A. Freitas, LNETI (Portugal)
Fernando D. Carvalho, LNETI (Portugal)
Fernando Carvalho Rodrigues, LNETI (Portugal)


Published in SPIE Proceedings Vol. 1713:
International Conference on Manufacturing Automation

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