抽象的な

Metal Surface Inspection for Defect Detection and Classification using Gabor Filter

Chaitali Tikhe , J.S.Chitode

Quality control is an important issue in the metallic industry. Also maintaining the rate of production with respect to time is also a major issue in metal manufacturing. Quality of metallic objects depends on its texture, shape etc. Various defects on raw metal planes like pin holes, scratches etc are difficult to detect at early stage of production with naked eyes. Time required for analysis and the accuracy will vary from person to person. For this purpose, an automatic defect detection and classification technique using enhanced Gabor filter has been proposed so that it can ensure the better quality of metal in manufacturing process as well as production rate. This automated classification method helps us to acquire knowledge about the pattern of defect within a very short period of time and so that the defected metal may not be mixed with the fresh metal.