Researches on Pre-processing for Pointer Meter Automatic Recognition

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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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  -