Proceedings of the 2016 International Conference on Computer and Information Technology Applications

Researches on Pre-processing for Pointer Meter Automatic Recognition

Authors
Liang Pei, Wenqing Li, Bo Wang, Shixuan Liu
Corresponding Author
Liang Pei
Available Online May 2016.
DOI
10.2991/iccita-16.2016.50How to use a DOI?
Keywords
Image grizzle; Median filter; Threshold segmentation; Gray stretch; Bigness method
Abstract

The accurate detection of the pointer position is the key of the automatic pointer meter reading. Appropriate image preprocessing is the basis of the precise location of the scale zone and pointer on the dial. In this paper, the images are preprocessed by image grizzle, median filter and image binarization. In order to improve the quality of the image segmentation, an improved bigness method based on gray stretch is adopted in the threshold segmentation. Experiments results show that effective thresholds are obtained, the useful information is successfully reserved and satisfactory segmentation results of the pointer meter images are achieved.

Copyright
© 2016, 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 Conference on Computer and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
10.2991/iccita-16.2016.50
ISSN
2352-538X
DOI
10.2991/iccita-16.2016.50How to use a DOI?
Copyright
© 2016, 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  - Liang Pei
AU  - Wenqing Li
AU  - Bo Wang
AU  - Shixuan Liu
PY  - 2016/05
DA  - 2016/05
TI  - Researches on Pre-processing for Pointer Meter Automatic Recognition
BT  - Proceedings of the 2016 International Conference on Computer and Information Technology Applications
PB  - Atlantis Press
SP  - 271
EP  - 277
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccita-16.2016.50
DO  - 10.2991/iccita-16.2016.50
ID  - Pei2016/05
ER  -