Novel method of Automatic Recognition for Analog Measuring Instruments

DOI

10.2991/icmse-15.2015.13How to use a DOI?

Keywords

Region Growing; Fuzzy Clustering; Analog Measuring Instruments; Hit-Miss Transform

Abstract

Present a novel method of automatic recognition for analog measuring instruments with region growing. The whole algorithm consists of pointer extraction algorithms based on region growing method and pointer recognition algorithms based on hit-miss transform method or least square method. Besides, the seeds needed by region growing can automatically obtained by fuzzy clustering based on difference image. Experiments show that, the pointer extraction algorithms based on region growing method effectively extract the features of pointers. And the extraction algorithm lays the foundation for the Hit-Miss transform method and the least square method to obtain good recognition accuracy. The algorithm is fast and efficient, can satisfy the requirements of real-time applications. This paper first applies region growing method of image segmentation to the field of analog measuring instruments recognition, enriches the method of analog measuring instruments recognition, achieved good recognition effect.

Copyright

© 2015, 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  - Jinqing Liu
AU  - Yin Liu
AU  - Lichun Yu
PY  - 2015/12
DA  - 2015/12
TI  - Novel method of Automatic Recognition for Analog Measuring Instruments
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 67
EP  - 75
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.13
DO  - 10.2991/icmse-15.2015.13
ID  - Liu2015/12
ER  -