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Research Article | Open Access |

Improved Fuzzy C-Mean Algorithm for Image Segmentation

Author 1: Hind Rustum Mohammed Author 2: Husein Hadi Alnoamani Author 3: Ali AbdulZahraa Jalil
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 5, No. 6 · Published 2016 · Cited by 15

DOI: https://doi.org/10.14569/IJARAI.2016.050602

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Abstract

The segmentation of image is considered as a significant level in image processing system, in order to increase image processing system speed, so each stage in it must be speed reasonably. Fuzzy c-mean clustering is an iterative algorithm to find final groups of large data set such as image so that is will take more time to implementation. This paper produces an improved fuzzy c-mean algorithm that takes less time in find cluster and used in image segmentation.

Keywords

pattern recognition image segmentation fuzzy c-mean improved fuzzy c-mean algorithms

How to Cite this Article

Mohammed, H. R., Alnoamani, H. H., & Jalil, A. A. (2016). Improved Fuzzy C-Mean Algorithm for Image Segmentation. International Journal of Advanced Research in Artificial Intelligence, 5(6). https://doi.org/10.14569/IJARAI.2016.050602

Mohammed, Hind Rustum, et al.. "Improved Fuzzy C-Mean Algorithm for Image Segmentation." International Journal of Advanced Research in Artificial Intelligence, vol. 5, no. 6, 2016, https://doi.org/10.14569/IJARAI.2016.050602.

@article{Mohammed2016,
  title     = {Improved Fuzzy C-Mean Algorithm for Image Segmentation},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {5},
  number    = {6},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Hind Rustum Mohammed and Husein Hadi Alnoamani and Ali AbdulZahraa Jalil},
  doi       = {10.14569/IJARAI.2016.050602},
  url       = {https://doi.org/10.14569/IJARAI.2016.050602}
}

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