Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

An Improved Median Filtering Method and its Applications in Features Extraction of GRIN Lens EndImage

Authors
Song-Lin Wu, Bo Zhang, Min Zhang
Corresponding Author
Song-Lin Wu
Available Online March 2017.
DOI
10.2991/ifmca-16.2017.21How to use a DOI?
Keywords
GRIN lens end image processing, Feature extraction, Median Filtering.
Abstract

In this paper, animproved median filtering method for particular local grey level is presented andused to the image processing experiments of gradient-index (GRIN) lens end face. The principle and methodology of image processing for features extraction of defects in GRIN lens end are introduced, on the basis of the proposed median filtering, threshold segmentation, and morphological statistics of local featureinformation. In the method, the determination process of defects information is described abstractedly, including the pre-processing, classification and determination. Innovative experiment methods and promising results are presented in this paper.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/ifmca-16.2017.21
ISSN
2352-5401
DOI
10.2991/ifmca-16.2017.21How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Song-Lin Wu
AU  - Bo Zhang
AU  - Min Zhang
PY  - 2017/03
DA  - 2017/03
TI  - An Improved Median Filtering Method and its Applications in Features Extraction of GRIN Lens EndImage
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 137
EP  - 140
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.21
DO  - 10.2991/ifmca-16.2017.21
ID  - Wu2017/03
ER  -