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Survey on the Image Segmentation Algorithms

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Proceedings of the International Field Exploration and Development Conference 2017

Part of the book series: Springer Series in Geomechanics and Geoengineering ((SSGG))

Abstract

Image segmentation techniques are always difficult and are the key point of image processing. Currently, many image segmentation algorithms are springing up, but there are no universal methods. Firstly, this paper analyses basic theory and advantages and disadvantages of traditional methods in the field of image segmentation, including threshold methods, edge detection methods, and region segmentation methods. Secondly, based on the evolution of traditional methods and new methods, which include the gene method, the research status of image segmentation algorithms in recent years is combined systematically and commented. Finally, the development trends and the difficulty of image segmentation are pointed out and, importantly, one new idea which is of significance is put forward.

Copyright 2017, Shaanxi Petroleum Society.

This paper was prepared for presentation at the 2017 International Field Exploration and Development Conference in Chengdu, China, 21–22 September 2017.

This paper was selected for presentation by the IFEDC&IPPTC Committee following review of information contained in an abstract submitted by the author(s). Contents of the paper, as presented, have not been reviewed by the IFEDC&IPPTC Committee and are subject to correction by the author(s). The material does not necessarily reflect any position of the IFEDC&IPPTC Committee, its members. Papers presented at the Conference are subject to publication review by Professional Committee of Petroleum Engineering of Shaanxi Petroleum Society. Electronic reproduction, distribution, or storage of any part of this paper for commercial purposes without the written consent of Shaanxi Petroleum Society is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of IFEDC&IPPTC. Contact email: paper@ifedc.org or paper@ipptc.org.

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Acknowledgements

Thanks for support from Science and Technology Department of Shaanxi province [ Key technique research on petroleum steel pipes welt automatic detection based on DR images (2016GY-106) ], social science foundation of Shaanxi province [Strategy research on information construction of Shaanxi province oil and gas resource enterprises (15JZ047)] and key laboratory research plan of Shaanxi province department  [Research on oil and gas resource enterprises information construction in big data time (2015R026)].

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Authors and Affiliations

  1. Economy and Management College, Xi’an Shiyou University, Xi’an, China

    Yang Peng Zhu & Peng Li

Authors
  1. Yang Peng Zhu
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  2. Peng Li
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Correspondence to Yang Peng Zhu .

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Editors and Affiliations

  1. Xi’an Shiyou University, Xi’an, Shaanxi, China

    Zhan Qu

  2. School of International Education, Xi’an Shiyou University, Xi’an, Shaanxi, China

    Jia'en Lin

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Zhu, Y.P., Li, P. (2019). Survey on the Image Segmentation Algorithms. In: Qu, Z., Lin, J. (eds) Proceedings of the International Field Exploration and Development Conference 2017. Springer Series in Geomechanics and Geoengineering. Springer, Singapore. https://doi.org/10.1007/978-981-10-7560-5_43

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  • DOI: https://doi.org/10.1007/978-981-10-7560-5_43

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7559-9

  • Online ISBN: 978-981-10-7560-5

  • eBook Packages: EngineeringEngineering (R0)

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