Detection of surface defects on ceramic tiles based on morphological techniques
This addresses a labor-intensive quality control issue in the ceramic tile manufacturing industry, but it is incremental as it applies existing morphological methods to this domain.
The paper tackled the problem of manually inspecting ceramic tiles for surface defects by developing an automated system using morphological techniques, achieving automated detection but without reporting specific performance numbers.
Ceramic tiles have become very popular and are used in the flooring of offices and shopping malls. As testing the quality of tiles manually in a highly polluted environment in the manufacturing industry is a labor-intensive and time consuming process, analysis is carried out on the tile images. This paper discusses an automated system to detect the defects on the surface of ceramic tiles based on dilation, erosion, SMEE and boundary detection techniques.