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An Algorithm for Automatic Recognition of Manhole Covers Based on MMS Images

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Advances in Image and Graphics Technologies (IGTA 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 634))

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Abstract

Considering difficulties in performing automatic recognition for manhole covers under complex background, this paper proposed a Hough transform algorithm to locating the possible positions of the manhole covers based on features of ellipse geometry extracting from images by Mobile Mapping Systems (MMS). Firstly, the original images need to be preprocessed by image enhancement, edge detection, and morphological closing operation. Then the processed image was filled, the image noises with very small areas were removed, and the remaining blocks were identified. A ratio of the ellipse area to its outer rectangle area was calculated as the threshold value to eliminate large amount of image noises so as to obtain the maximum likely positions of manhole covers. Finally, the Hough transform was used to identify the accurate locations of the manhole covers. Experiments with fifty images have showed that the proposed algorithm can achieve a 88 % accuracy of identifying the manhole covers correctly, automatically and quickly.

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Fund Project

Supported by Beijing Nova Program (No. Z121106002512025) and its matching supporting program by Beijing University of Civil Engineering and Architecture (No. 21221214116), Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions (No. CIT&TCD201504032), Beijing Municipal Organization Department Talents Project (No. 2012D005017000001), Scientific Research Project of Beijing Educational Committee (No. KM201410016008).

Author information

Authors and Affiliations

  1. School of Geomatics and Urban Information, Beijing University of Civil Engineering and Architecture, No. 1, Exhibition Hall Road, Xicheng District, Beijing, 100044, China

    Zhang Chong & Liu Yang

  2. The Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing University of Civil Engineering and Architecture, No. 1, Exhibition Hall Road, Xicheng District, Beijing, 100044, China

    Liu Yang

Authors
  1. Zhang Chong
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  2. Liu Yang
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Corresponding author

Correspondence to Zhang Chong .

Editor information

Editors and Affiliations

  1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  2. Peking University, Beijing, China

    Guoping Wang

  3. Tsinghua University, Beijing, China

    Shengjin Wang

  4. Beijing Institute of Technology, Beijing, China

    Yue Liu

  5. Peking University, Beijing, China

    Xiaoru Yuan

  6. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Ran He

  7. Peking University, Beijing, China

    Sheng Li

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© 2016 Springer Science+Business Media Singapore

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Chong, Z., Yang, L. (2016). An Algorithm for Automatic Recognition of Manhole Covers Based on MMS Images. In: Tan, T., et al. Advances in Image and Graphics Technologies. IGTA 2016. Communications in Computer and Information Science, vol 634. Springer, Singapore. https://doi.org/10.1007/978-981-10-2260-9_4

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  • DOI: https://doi.org/10.1007/978-981-10-2260-9_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2259-3

  • Online ISBN: 978-981-10-2260-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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