2019
DOI: 10.35940/ijeat.a1847.109119
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Detection of Surface Coating Defects using Fuzzy C-Means Clustering with Firefly Optimization

Abstract: Defect detection in metallic surface images is a challenging task in the image analysis process. The data clustering and optimization techniques have been widely used for image segmentation and the combination of these two approaches improves the output stability as well as convergence speed. In this work developed an automatic, efficient method for the detection and segmentation of coating defects in metal surfaces. The Fuzzy c-means (FCM) and Firefly algorithm (FA) are well-known and popular methods to disco… Show more

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