Multispectral images segmentation using new fuzzy cluster centroid modified

@article{Mantilla2017MultispectralIS,
  title={Multispectral images segmentation using new fuzzy cluster centroid modified},
  author={S. C. Luis Mantilla and Yessenia Yari},
  journal={2017 IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON)},
  year={2017},
  pages={1-4}
}
The presence of outliers, noise, corrupt pieces of data and great quantity of samples in a multispectral image, makes the segmentation analysis work tedious. The fuzzy clustering approach, specially, is susceptible to inhomogeneity of characteristics. Furthermore, many algorithms such us FCM, PFCM, FCC, FWCM and modification aim to solve these problems by… CONTINUE READING