Three-Level Image Segmentation Based on Maximum Fuzzy Partition Entropy of 2-D Histogram and Quantum Genetic Algorithm

Hai-yan Yu, Jiu-Lun Fan. Three-Level Image Segmentation Based on Maximum Fuzzy Partition Entropy of 2-D Histogram and Quantum Genetic Algorithm. In De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo, editors, Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings. Volume 5227 of Lecture Notes in Computer Science, pages 484-493, Springer, 2008. [doi]

@inproceedings{YuF08,
  title = {Three-Level Image Segmentation Based on Maximum Fuzzy Partition Entropy of 2-D Histogram and Quantum Genetic Algorithm},
  author = {Hai-yan Yu and Jiu-Lun Fan},
  year = {2008},
  doi = {10.1007/978-3-540-85984-0_58},
  url = {http://dx.doi.org/10.1007/978-3-540-85984-0_58},
  tags = {rule-based, partitioning},
  researchr = {https://researchr.org/publication/YuF08},
  cites = {0},
  citedby = {0},
  pages = {484-493},
  booktitle = {Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings},
  editor = {De-Shuang Huang and Donald C. Wunsch II and Daniel S. Levine and Kang-Hyun Jo},
  volume = {5227},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-85983-3},
}