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[Author] Chong WU(1hit)

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  • Superpixel Based Hierarchical Segmentation for Color Image

    Chong WU  Le ZHANG  Houwang ZHANG  Hong YAN  

     
    LETTER-Image Processing and Video Processing

      Pubricized:
    2020/07/03
      Vol:
    E103-D No:10
      Page(s):
    2246-2249

    In this letter, we propose a hierarchical segmentation (HS) method for color images, which can not only maintain the segmentation accuracy, but also ensure a good speed. In our method, HS adopts the fuzzy simple linear iterative clustering (Fuzzy SLIC) to obtain an over-segmentation result. Then, HS uses the fast fuzzy C-means clustering (FFCM) to produce the rough segmentation result based on superpixels. Finally, HS takes the non-iterative K-means clustering using priority queue (KPQ) to refine the segmentation result. In the validation experiments, we tested our method and compared it with state-of-the-art image segmentation methods on the Berkeley (BSD500) benchmark under different types of noise. The experiment results show that our method outperforms state-of-the-art techniques in terms of accuracy, speed and robustness.