Corpus ID: 40987776

LUSTERING A LGORITHM F OR I MAGE S EGMENTATION

@inproceedings{Kalam2016LUSTERINGAL,
  title={LUSTERING A LGORITHM F OR I MAGE S EGMENTATION},
  author={Rehna Kalam and Dr Ciza Thomas and Dr M Abdul Rahiman},
  year={2016}
}
  • Rehna Kalam, Dr Ciza Thomas, Dr M Abdul Rahiman
  • Published 2016
  • Image processing is an important research area in computer vision. clustering is an unsupervised study. clustering can also be used for image segmentation. there exist so many methods for image segmentation. image segmentation plays an important role in image analysis.it is one of the first and the most important tasks in image analysis and computer vision. this proposed system presents a variation of fuzzy c-means algorithm that provides image clustering. the kernel fuzzy c-means clustering… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 20 REFERENCES

    Scalable replay with partial-order dependencies for message-logging fault tolerance

    A Novel Modified Kernel Fuzzy C-Means Clustering Algorithm on Image Segementation

    Wu-Chih-Hu,“ Automatic Multilevel Threshold Based on Two Stage Otsu’s Method With Cluster Determination With Valley Estimation

    • Deng-Yaun Haung, Ta- Wei Lin
    • ICIC
    • 2011