Analysis of Metal Defects by Clustering the Sample and Distributed Cumulative Histogram

摘要

In this paper the clustering algorithm was used to classify the regions of the metal sample with defects to determine their coordinates. The informative distributed cumulative histogram is proposed. To measure sizes and intensity of defects the IDCH image is transformed and clustered.