Automatic Detection of Defects in Industrial Applications Using Block Processing

Abstract — Defects are occurring during the manufacturing of boilers, tiles etc., due to improper doping of the constituents added. The manufacturing industries need defect detection techniques during testing of their products. In this paper the automatic defect detection method is implemented in different applications. The object is captured and stored in database in the form of image and is monitored continuously. If any changes occur due to flaws, missing parts etc., from the ideal state it is detected using Region counting algorithm. The type of the error is identified by using Morphological (edge detection and segmentation) operation. Edge detection operator is used to find the errors such as cracks or holes. Segmentation is employed to distinguish the errors. This algorithm can be applied to few application areas and is found detecting efficiently.