Principal Component Analysis combined with First Order Statistical Method for Breast Thermal Images Classification

@inproceedings{NurhayatiPrincipalCA,
  title={Principal Component Analysis combined with First Order Statistical Method for Breast Thermal Images Classification},
  author={Oky Dwi Nurhayati and Adhi Susanto and Dr. Thomas Sri Widodo and Dr. Maesadji Tjokronagoro}
}
classification of randomized thermograms tabulated by the first order statistics method including the mean values, skewness values, entropy values, kurtosis values, and variance values with the thermal camera of Fluke as a tool for capturing images, after the mathematical method of measurement. Five statistical features combined with principal component analysis (PCA) have been applied in this research to classify the types of thermograms after the image preprocessing. The results show that the… CONTINUE READING

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