Classification of travertine plates with image processing

In our country, natural stone production process is last step which is classification carried out by selection workers. This is the most important stages of the production process, and has been affected from worker faults. By this way, the quality standard of products could be destroyed. In this study the aim was to study the design of an automation system with image processing algorithms for the classification of natural stone instead of selection workers. This classification algorithm was developed and carry out on the design.