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Author:

Lei, Fei (Lei, Fei.) | Xiong, Zhimei (Xiong, Zhimei.) | Wang, Xueli (Wang, Xueli.)

Indexed by:

EI Scopus

Abstract:

The efficient and accurate meter reading method can help us manage water resources more reasonably. Aiming at the image of the non-smart water meter taken by mobile phone photographing, a new method for locating and fragmenting digital area of water meter is proposed in this paper. Firstly, locate the position of the measuring unit in the water meter. Obtain the binary image of the measurement unit and correct the image according to its vertical projection feature, and then locate the number area of the water meter again. The adaptive threshold is used to binarize the digital region, then the median filtering and connected-domain method are used for denoising. Finally, the digital segmentation is completed by finding the circumscribed rectangle of the character. The experimental results show that the method can effectively locate the digital area and segmentation numeric characters for the water meter image with rotation problem and has strong adaptability to the water meter of different water meter companies. © 2019, Springer Nature Singapore Pte Ltd.

Keyword:

Water meters Computers Binary images Image segmentation Global system for mobile communications Water resources Median filters

Author Community:

  • [ 1 ] [Lei, Fei]Beijing University of Technology, Beijing, China
  • [ 2 ] [Xiong, Zhimei]Beijing University of Technology, Beijing, China
  • [ 3 ] [Wang, Xueli]Beijing University of Technology, Beijing, China

Reprint Author's Address:

  • [xiong, zhimei]beijing university of technology, beijing, china

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Source :

ISSN: 1865-0929

Year: 2019

Volume: 1137 CCIS

Page: 557-571

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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