Ceramic and tile industries should indispensably include a grading stage to quantify the
quality of products. Actually, human control systems are often used for grading purposes. An …

Defect detection and classification of ceramic tile surface defects occurred in firing units are
usually performed by human observations in most factories. In this paper, an automatic …

Quality control is an important issue in the ceramic tile industry. On the other hand
maintaining the rate of production with respect to time is also a major issue in ceramic tile …

The requirements of modern manufacturing industry caused the increase of implementation
of the automated systems. Their main aim is to improve visual inspection and quality control …

Quality control in ceramic tile manufacturing is hard, labor intensive and it is performed in a
harsh industrial environment with noise, extreme temperature and humidity. It can be divided …

In this article, a method has been offered to classify normal and defective tiles using wavelet
transform and artificial neural networks. The proposed algorithm calculates max and min …

The ceramic tiles manufacturing process has now been completely automated with the
exception of the final stage of production concerned with visual inspection. This paper is …

Automated defect detection is difficult to achieve in ceramic tile manufacturing today.
Computer vision and machine learning based approaches are commonly utilised for this …

Grinding and polishing are standard operations in material processing. It is important to
inspect and classify the potential defects existing on the product surfaces after grinding and …

In this paper, we present a fast machine vision method for the automatic inspection of
defects in textured surfaces. Traditional 2D Gabor filtering schemes have been shown to be …