To improve the accurate rates of oil contamination level analysis and wear particle recognition

the main process of wear particle image processing and object extraction is given on the basis of analysis of image characteristics of oil on-line monitoring system.The degrading module of the blurred wear particle image is analyzed.The method on the blur parameters calculation of the blurred wear particle image based on difference and autocorrelation is studied.The wear particle image segmentation method based on oil background image and Otsu is proposed.The results of the examples show that the proposed methods are fit for the wear particle image processing.The system performance is tested by particle counter and the ferrography technology respectively.The results show that the accurate rates of oil contamination level analysis and wear particle recognition are higher than 95 %.This system has high detection precision and can meet the demand of wear particle on-line monitoring.