A Survey on Automatic Defect Detection & Classification Technique from Image: A special case using ceramic tiles.
Keywords:
Pattern of Defect, Defected Ceramic Tiles; Fresh Tiles, Quality control, Defects detection, Visual control, Image processing, Morphological operation.Abstract
On the other hand maintaining the rate of production with respect to time is also a major issue in ceramic tile
manufacturing. Again, price of ceramic tiles also depends on purity of texture, accuracy of color, shape etc. 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 into color analysis, dimension verification, and surface defect
detection, which is the main purpose of our work. Quality control is an important issue in the ceramic tile industry.
Considering this criteria, an automated defect detection and classification technique has been proposed in this report
that can have ensured the better quality of tiles in manufacturing process as well as production rate. Our proposed
method plays an important role in ceramic tiles industries to detect the defects and to control the quality of ceramic tiles.
This automated classification method helps us to acquire knowledge about the pattern of defect within a very short
period of time and also to decide about the recovery process so that the defected tiles may not be mixed with the fresh
tiles.
