A Literature Survey on Various Methods used for Metal Defects Detection Using Image Segmentation

Segmentation partitions an image into distinct regions containing each pixel with similar attributes. To be meaningful and useful for image analysis and interpretation, the regions should strongly relate to depicted objects or features of interest. Segmentation can also be applied for detecting metal surface defects Surface quality of metals should be regularly tested before making them available in industries. Traditional testing methods are not such effective due to its low productivity and lower reliability. This paper presents a survey on various methods used for detecting metal surface defects using image segmentation.