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Segmentation of Online Ferrograph Images with Strong Interference Based on Uniform Discrete Curvelet Transformation
2019
Sensors
Through real-time acquisition of the visual characteristics of wear debris in lube oil, an on-line visual ferrograph (OLVF) achieves online monitoring of equipment wear in practice. However, since a large number of bubbles can exist in lube oil and appear as a dynamically changing interference shadow in OLVF ferrograms, traditional algorithms may easily misidentify the interference shadow as wear debris, resulting in a large error in the extracted wear debris characteristic. Based on this
doi:10.3390/s19071546
fatcat:s64phk7w4jckrgssyd6p6ah4ue