Research on Foreign Matter Screening Algorithm in Coal Based on Improved PSO-KMeans
Automatic identification and sorting of foreign matters are key technologies to realize mining informatization.The traditional dual energy X-ray system can effectively identify the mixed iron and rubber by R-value algorithm.But it is difficult to identify the wooden impurities similar to coal.To solve the problem,a wooden impurities screening algorithm based on L0 norm mini-mization and improved PSO-KMeans is proposed.The image is smoothed by L0 norm minimization to remove coal ash.And it can be segmented by improved PSO-KMeans algorithm and watershed algorithm based on distance transformation.Later,wooden impuri-ties can be identified according to eccentricity and squareness.With simulation experiment,it is verified that this method can effec-tively screen out the mixed wooden impurities in coal.
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维普
