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Unstructured Road Segmentation Method Based on Super Pixel and Region Growing Algorithm

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Proceedings of 2020 Chinese Intelligent Systems Conference (CISC 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 706))

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Abstract

Given the large randomness and the low color information utilization rate, a region growing algorithm based on super pixel is proposed. It can also eliminate the uncertainty of the initial setting parameters of super pixel segmentation. The method in this paper was proposed by three steps. In the first step, set the most suitable number of super pixel by the lab feature histogram of the image. In the second step, segment the original image by the SLIC super pixel segmentation algorithm. In the third step, merge super pixel blocks by region growing algorithm and then obtain the target unstructured road. This paper uses Jaccard coefficients to evaluate the segmentation accuracy. In a warehouse environment, this method is more accurate than traditional region growing algorithm and normalized segmentation method based on SLIC super pixel.

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Authors and Affiliations

  1. University of Science and Technology Beijing, Beijing, 100083, China

    Tao Liu, Xi Zhong & Lixin Zhang

  2. Shunde Graduate School of University of Science and Technology Beijing, Beijing, 528300, Guangdong, China

    Tao Liu & Xi Zhong

Authors
  1. Tao Liu
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  2. Xi Zhong
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  3. Lixin Zhang
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Corresponding author

Correspondence to Tao Liu .

Editor information

Editors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, Beijing, China

    Yingmin Jia

  2. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, Beijing, China

    Weicun Zhang

  3. School of Mechanical Engineering and Automation, Beihang University, Beijing, Beijing, China

    Yongling Fu

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Liu, T., Zhong, X., Zhang, L. (2021). Unstructured Road Segmentation Method Based on Super Pixel and Region Growing Algorithm. In: Jia, Y., Zhang, W., Fu, Y. (eds) Proceedings of 2020 Chinese Intelligent Systems Conference. CISC 2020. Lecture Notes in Electrical Engineering, vol 706. Springer, Singapore. https://doi.org/10.1007/978-981-15-8458-9_44

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