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Image Segmentation Using KFTBES

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Genetic and Evolutionary Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 387))

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Abstract

We present a supervised algorithm to improve the image segmentation algorithm based on texture and boundary encoding. Our method is due to the analysis of the implementation and result of the TBES algorithms, and we increase the adaptability of the TBES algorithms. Through constructing the train dataset with fine-class segmentation, our method adaptively distribute the optimum segmentation standard to each image using Kernel Fisher algorithms. We also compare our method to other similar popular algorithms and our method achieves the state-of-the-art results on Berkeley Segmentation Dataset.

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Author information

Authors and Affiliations

  1. Innovative Information Industry Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, 518005, China

    Yi-Fan Li, Wei Cui, Jeng-Shyang Pan & Qiang Su

  2. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, 350118, China

    Jeng-Shyang Pan

  3. Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China

    Jun-Bao Li

Authors
  1. Yi-Fan Li
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  2. Wei Cui
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  3. Jeng-Shyang Pan
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  4. Jun-Bao Li
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  5. Qiang Su
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Corresponding author

Correspondence to Jeng-Shyang Pan .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Thi Thi Zin

  2. School of Computer Science and Tech..., Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China

    Jerry Chun-Wei Lin

  3. College of Information Science and Engg, Fujian University of Technology, Fuzhou, China

    Jeng-Shyang Pan

  4. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Pyke Tin

  5. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Mitsuhiro Yokota

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© 2016 Springer International Publishing Switzerland

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Li, YF., Cui, W., Pan, JS., Li, JB., Su, Q. (2016). Image Segmentation Using KFTBES. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-319-23204-1_2

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  • DOI: https://doi.org/10.1007/978-3-319-23204-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23203-4

  • Online ISBN: 978-3-319-23204-1

  • eBook Packages: EngineeringEngineering (R0)

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