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The Method of Dynamic Particle Image Detection Based on Degradation Simulation and Parameter Variability |
ZHANG Yan-bin |
Image Processing & Image Communication LAB, Nanjing University of Posts and Telecommunication, Nanjing, Jiangsu 21003, China |
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Abstract The development of oil particle dynamic analysis system is described, and dynamic particle image detection is discussed. On the basis of analyzing degradation theory about dynamic particle image, simulation of degradation of standard debris atlas images is carried out according to the system experimentation parameters, and the particle extraction from degraded image is analyzed and resolved, then the variability of various parameters is studied. At last by means of selecting the parameters with steadiness of degradation, the oil dynamic particle image detection system is developed and comparing with conventional systems more detailed detection and classification are realized.
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