The Segmentation of Wear Particles Images UsingJ-Segmentation Algorithm

Author:

Liu Hong1,Wei Haijun1,Wei Lidui1,Li Jingming1,Yang Zhiyuan1

Affiliation:

1. Laboratory of Oil Analysis, Shanghai Maritime University, 1550 Lingang Avenue, Shanghai 201306, China

Abstract

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

Publisher

Hindawi Limited

Subject

Surfaces, Coatings and Films,Mechanical Engineering

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