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Proceedings Paper

Classification system for pieces of Porcelanatto based on computer vision
Author(s): Jose A. Penaranda Marques; Angel P. del Pobil; Miguel Angel Serna
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Paper Abstract

This paper is based on resolving a problem found in the ceramics industry, namely Porcelanatto. Porcelanatto is a relatively new product, it is a new type of glazed tile and is used as a floor covering. Its manufacturing process consists basically of mixing two or three types of grains and after that the mixture is heated in an oven. Finally the mixture is polished and a perfectly flat surface is produced. Ideally, a piece of Porcelanatto should be a random mix of two or three types of grain where each grain has a fixed color and average size. Nevertheless, a selection of real tiles from the production line show slight differences in average grain size. These are responsible for the distinct appearance between tiles visible to the human eye once they have been placed on the floor. As it is impossible to obtain ideal tiles they must be classified into groups according to the criteria `appearance to the human eye' which is related to the average grain size. The description of an automatic system based on computer vision to classify them is the aim of this paper. The proposed system consists of: PC, image processing card with its library, black and white video camera CCD, illumination, data acquisition card and production line.

Paper Details

Date Published: 23 November 1994
PDF: 10 pages
Proc. SPIE 2249, Automated 3D and 2D Vision, (23 November 1994); doi: 10.1117/12.196079
Show Author Affiliations
Jose A. Penaranda Marques, CEIT (Spain)
Angel P. del Pobil, Univ. Jaume I (Spain)
Miguel Angel Serna, Univ. de Navarra (Spain)


Published in SPIE Proceedings Vol. 2249:
Automated 3D and 2D Vision
Rolf-Juergen Ahlers; Donald W. Braggins; Gary W. Kamerman, Editor(s)

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