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A hybrid active contour model driven by novel global and local fitting energies for image segmentation

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Abstract

This paper proposes a hybrid active contour model driven by novel global and local fitting energies for image segmentation. First, the global fitting term is defined by minimizing the difference between the weighted global fitted image and the original image, which describes the global information more accurately. Second, the local fitting term is defined by the cross entropy to compute the local information, which improves the generality of the proposed model. Experiments are performed on synthetic and real images and the results demonstrate that compared with existing active contour models, the proposed model has advantages in terms of segmentation performance and robustness to initial contour and noise.

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Acknowledgements

This work is partially supported by the National Natural Science Fund of China under Grant 61573183, Funding for Outstanding Doctoral Dissertation in NUAA under Grant BCXJ18-04, Key Laboratory of Yellow River Sediment of Ministry of Water Resources under Grant 2014006, Engineering Technology Research Center of Wuhan Intelligent Basin under Grant CKWV2013225/KY, State Key Laboratory of Urban Water Resources and Environment under Grant LYPK201304.

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Authors and Affiliations

  1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Jiang Jun Avenue No 29, Nanjing, 211106, China

    Bin Han & Yiquan Wu

  2. Key Laboratory of Yellow River Sediment of Ministry of Water Resources, Yellow River Institute of Hydraulic Research, Yellow Water Resources Commission, Zhengzhou, China

    Yiquan Wu

  3. Key Laboratory of Port, Waterway and Sedimentation Engineering of the Ministry of Transport, Nanjing Hydraulic Research Institute, Nanjing, China

    Yiquan Wu

  4. State Key Laboratory of Urban Water Resources and Environment, Harbin Institute of Technology, Harbin, China

    Yiquan Wu

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  1. Bin Han
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Correspondence to Yiquan Wu.

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Han, B., Wu, Y. A hybrid active contour model driven by novel global and local fitting energies for image segmentation. Multimed Tools Appl 77, 29193–29208 (2018). https://doi.org/10.1007/s11042-018-6127-x

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  • DOI: https://doi.org/10.1007/s11042-018-6127-x

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