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Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 10, October 2016

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

M. H. Thasin Fouzia | Dr. K. Nirmala

Abstract: 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.

Keywords: Image Segmentation, Metal Defects, Guassian Filter, Canny Edge Detector, Fuzzy Logic, Principal Component Analysis PCA

Edition: Volume 5 Issue 10, October 2016,

Pages: 1254 - 1257