Edge Defect Detection in Ceramic Tile Based on Boundary Analysis Using Fuzzy Thresholding and Radon Transform

Applying image processing technology and machine vision in industry have had significant development in recent decade. Tile and ceramic industry was not excluded form this matter. By using image processing techniques in production line of this industry, it is possible to detect surface defections such as edge defections, cracks and coloring defections. Surface defection is the most common type of defection in tile and ceramic industry. In this article a new and simple approach for detecting surface defections using Fuzzy thersholding and morphological operand and Radon transforms as well as boundary analysis is introduced. The available algorithm in the articles has good ability in determining number and place of defections and displaying them. Compared with results of other methods, the used algorithm in this article has better results on actual data base, in presence of camera noise and environmental lighting effects.