The Segmentation of Wear Particles Images Using J -Segmentation Algorithm

المؤلفون المشاركون

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

المصدر

Advances in Tribology

العدد

المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2016-04-18

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

هندسة ميكانيكية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1096724