• Title/Summary/Keyword: Weavelet Transform

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Feature Extraction of Molecular Images by DWT (DWT에 의한 분자영상의 특징 추출)

  • Choi, Guirack;Ahng, Byungju;Lee, Sangbock
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.12
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    • pp.21-26
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    • 2013
  • In this paper, We are suggested methods of feature extraction in molecular images. The result of image transform DWT examination by suggested method, we are obtained as follows. 1-level and 2-levels of decomposition results showed the composition of the low frequency region. But, 3-level decomposition results did not appear in the data component is almost. Observed not with the naked eye is not, but the 3-level output data values of the results were decomposed. We are printed the horizontal and vertical directions of low-frequency region of the data, the high frequency region of the horizontal and vertical data, and diagonal high frequency region of the horizontal and vertical directions data. If the output data using molecular imaging and CT, PET, MR imaging will be compared with the data.