The Segmentation of Wear Particles Images Using J -Segmentation Algorithm

Joint Authors

Liu, Hong
Wei, Haijun
Wei, Lidui
Li, Jingming
Yang, Zhiyuan

Source

Advances in Tribology

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-04-18

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Mechanical Engineering

Abstract EN

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.

American Psychological Association (APA)

Liu, Hong& Wei, Haijun& Wei, Lidui& Li, Jingming& Yang, Zhiyuan. 2016. The Segmentation of Wear Particles Images Using J -Segmentation Algorithm. Advances in Tribology،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1096724

Modern Language Association (MLA)

Liu, Hong…[et al.]. The Segmentation of Wear Particles Images Using J -Segmentation Algorithm. Advances in Tribology No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1096724

American Medical Association (AMA)

Liu, Hong& Wei, Haijun& Wei, Lidui& Li, Jingming& Yang, Zhiyuan. The Segmentation of Wear Particles Images Using J -Segmentation Algorithm. Advances in Tribology. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1096724

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1096724