The image characteristics of wear particles in oil monitoring technology was analyzed in depth.On this basis,the image processing methods for wear particles were summarized,including blur image restoration,image denoising,image segmentation,and wear particle feature extraction.The experimental results,some problems and solutions when the four methods were used to treat wear debris image were expounded respectively.It is concluded that image segmentation can be done better on the basis of blur image restoration and image denoising,further feature extraction of wear debris can be better finished.It is summarized that the application of these four methods in mechanical wear state monitoring can help to understand the wear state,wear degree,wear position and wear type.Finally,combined with the current work progress,the development process of wear debris image processing technology was summarized,it was proposed that wear debris image processing technology was still a challenging subject in the condition monitoring,and the corresponding prospect of various directions of wear debris image processing technology was proposed.