Image acquisition and segmentation for ceramic bearing ball surface inspection system

Tiebin Yang; Liqin Wang; Dezhi Zheng; Le Gu

doi:10.1109/WCICA.2006.1713625

Image acquisition and segmentation for ceramic bearing ball surface inspection system

Tiebin Yang^*
, Liqin Wang
, Dezhi Zheng
, Le Gu

^*Corresponding author for this work

School of Mechatronics Engineering

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Surface and subsurface defects in ceramic bearing balls significantly affect ball strength and lifetime. A brief review of nondestructive evaluation technologies on hybrid bearing balls was presented. An automatic ceramic bearing ball surface inspection system based on computer image technology was developed. Various surface defects were imaged by microscope and image digitizer on a novel ball surface unfolding mechanism. Top-hat and logarithm transformations were applied to eliminate uneven lighting disturbance. An automatic seeded region growing algorithm based on histogram concavity analyses and Otsu's method was developed for defects segmentation. The results show that the experimental system is effective for ceramic ball surface and subsurface defects detection.

Original language	English
Title of host publication	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages	8444-8447
Number of pages	4
DOIs	https://doi.org/10.1109/WCICA.2006.1713625
State	Published - 2006
Event	6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China Duration: 21 Jun 2006 → 23 Jun 2006

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume	2

Conference

Conference	6th World Congress on Intelligent Control and Automation, WCICA 2006
Country/Territory	China
City	Dalian
Period	21/06/06 → 23/06/06

Keywords

Ceramic bearing ball
Image segmentation
Seeded region growing
Surface inspection

Access to Document

10.1109/WCICA.2006.1713625

Cite this

Yang, T., Wang, L., Zheng, D., & Gu, L. (2006). Image acquisition and segmentation for ceramic bearing ball surface inspection system. In Proceedings of the World Congress on Intelligent Control and Automation (WCICA) (pp. 8444-8447). Article 1713625 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2). https://doi.org/10.1109/WCICA.2006.1713625

@inproceedings{a78c466112cc418898af92be3e9be8d4,

title = "Image acquisition and segmentation for ceramic bearing ball surface inspection system",

abstract = "Surface and subsurface defects in ceramic bearing balls significantly affect ball strength and lifetime. A brief review of nondestructive evaluation technologies on hybrid bearing balls was presented. An automatic ceramic bearing ball surface inspection system based on computer image technology was developed. Various surface defects were imaged by microscope and image digitizer on a novel ball surface unfolding mechanism. Top-hat and logarithm transformations were applied to eliminate uneven lighting disturbance. An automatic seeded region growing algorithm based on histogram concavity analyses and Otsu's method was developed for defects segmentation. The results show that the experimental system is effective for ceramic ball surface and subsurface defects detection.",

keywords = "Ceramic bearing ball, Image segmentation, Seeded region growing, Surface inspection",

author = "Tiebin Yang and Liqin Wang and Dezhi Zheng and Le Gu",

year = "2006",

doi = "10.1109/WCICA.2006.1713625",

language = "英语",

isbn = "1424403324",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "8444--8447",

booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

note = "6th World Congress on Intelligent Control and Automation, WCICA 2006 ; Conference date: 21-06-2006 Through 23-06-2006",

}

Yang, T, Wang, L , Zheng, D & Gu, L 2006, Image acquisition and segmentation for ceramic bearing ball surface inspection system. in Proceedings of the World Congress on Intelligent Control and Automation (WCICA)., 1713625, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), vol. 2, pp. 8444-8447, 6th World Congress on Intelligent Control and Automation, WCICA 2006, Dalian, China, 21/06/06. https://doi.org/10.1109/WCICA.2006.1713625

Image acquisition and segmentation for ceramic bearing ball surface inspection system. / Yang, Tiebin; Wang, Liqin ; Zheng, Dezhi et al.
Proceedings of the World Congress on Intelligent Control and Automation (WCICA). 2006. p. 8444-8447 1713625 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Image acquisition and segmentation for ceramic bearing ball surface inspection system

AU - Yang, Tiebin

AU - Wang, Liqin

AU - Zheng, Dezhi

AU - Gu, Le

PY - 2006

Y1 - 2006

N2 - Surface and subsurface defects in ceramic bearing balls significantly affect ball strength and lifetime. A brief review of nondestructive evaluation technologies on hybrid bearing balls was presented. An automatic ceramic bearing ball surface inspection system based on computer image technology was developed. Various surface defects were imaged by microscope and image digitizer on a novel ball surface unfolding mechanism. Top-hat and logarithm transformations were applied to eliminate uneven lighting disturbance. An automatic seeded region growing algorithm based on histogram concavity analyses and Otsu's method was developed for defects segmentation. The results show that the experimental system is effective for ceramic ball surface and subsurface defects detection.

AB - Surface and subsurface defects in ceramic bearing balls significantly affect ball strength and lifetime. A brief review of nondestructive evaluation technologies on hybrid bearing balls was presented. An automatic ceramic bearing ball surface inspection system based on computer image technology was developed. Various surface defects were imaged by microscope and image digitizer on a novel ball surface unfolding mechanism. Top-hat and logarithm transformations were applied to eliminate uneven lighting disturbance. An automatic seeded region growing algorithm based on histogram concavity analyses and Otsu's method was developed for defects segmentation. The results show that the experimental system is effective for ceramic ball surface and subsurface defects detection.

KW - Ceramic bearing ball

KW - Image segmentation

KW - Seeded region growing

KW - Surface inspection

UR - https://www.scopus.com/pages/publications/34047216892

U2 - 10.1109/WCICA.2006.1713625

DO - 10.1109/WCICA.2006.1713625

M3 - 会议稿件

AN - SCOPUS:34047216892

SN - 1424403324

SN - 9781424403325

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

SP - 8444

EP - 8447

BT - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

T2 - 6th World Congress on Intelligent Control and Automation, WCICA 2006

Y2 - 21 June 2006 through 23 June 2006

ER -

Image acquisition and segmentation for ceramic bearing ball surface inspection system

Abstract

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Conference

Keywords

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