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Image Segmentation Based on Fuzzy 3-Partition Entropy Approach and Genetic Algorithm

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Parallel and Distributed Computing: Applications and Technologies (PDCAT 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3320))

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Abstract

In this paper, a three-level thresholding method for image segmentation is presented, based on the concept of fuzzy c-partition and the maximum fuzzy entropy principle. A new fuzzy exponential entropy is defined through probability analysis. We also define simplified membership functions for the three parts respectively, while the fuzzy regions can be determined by maximizing fuzzy entropy. A genetic algorithm is implemented to search the optimal combination of the fuzzy parameters, which finally decide the thresholds. Experiments show that the proposed method can select the thresholds automatically and effectively, and the resulting image can preserve the main features of the components of the original image very well.

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References

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Author information

Authors and Affiliations

  1. College of Information Science & Engineering, Wuhan University of Science and Technology, 430081, Wuhan, P. R. China

    Jin Wu & Juan Li

  2. Image Information & Intelligence Control Laboratory of the Ministry of Education, Huazhong University of Science and Technology, 430074, Wuhan, P. R. China

    Jian Liu & Jinwen Tian

Authors
  1. Jin Wu
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  2. Juan Li
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  3. Jian Liu
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  4. Jinwen Tian
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Editor information

Editors and Affiliations

  1. Nanyang Centre for Supercomputing and Visualisation School of Mechanical and Production Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639 798, Singapore

    Kim-Meow Liew

  2. School of Computer Science, The University of Adelaide,  

    Hong Shen

  3. Asia Pacific Science and Technology Center, Sun Microsystems Inc., 50 Nanyang Avenue, N3-1c-10, 639798, Singapore

    Simon See

  4. School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Wentong Cai

  5. Southwest Jiaotong University,  

    Pingzhi Fan

  6. Tohoku University ,  

    Susumu Horiguchi

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© 2004 Springer-Verlag Berlin Heidelberg

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Wu, J., Li, J., Liu, J., Tian, J. (2004). Image Segmentation Based on Fuzzy 3-Partition Entropy Approach and Genetic Algorithm. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_32

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  • DOI: https://doi.org/10.1007/978-3-540-30501-9_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24013-6

  • Online ISBN: 978-3-540-30501-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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