This study aims to use a JSEG algorithm to segment the wear particle�s image.Wear particles provide detailed information about the\nwear processes taking place between mechanical components. Autosegmentation of their images is key to intelligent classification\nsystem. This study examined whether this algorithmcan be used in particles� image segmentation. Different scales have been tested.\nCompared with traditional thresholding along with edge detector, the JSEG algorithm showed promising result. It offers a relatively\nhigher accuracy and can be used on color image instead of gray image with little computing complexity. A conclusion can be\ndrawn that the JSEG method is suited for imaged wear particle segmentation and can be put into practical use in wear particle�s\nidentification system.
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