Analytical Study of Medical PET Images by DWT and PCA
DOI:
https://doi.org/10.31272/jae.i141.1019Keywords:
PET Medical Image , DIscrete of Wavelet TRansform ((DWT)) , Principal COmponent analysis((PCA)) , .Abstract
The PET medical images need clarification to reach a correct diagnosis of the disease by removing noise from them, and this is done by applying several techniques, including DWT, PCA. DWT is an algorithm that compresses an image and removes noise by dividing the image into several levels, removing the unnecessary (neglected) part of the image. The PCA algorithm compresses the error parameters in the image and then reconstructs them.
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