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X-ray fluorescence spectrum of the block algorithm to apply the interval threshold method using DWT

DWT를 이용한 형광 X-선 스펙트럼의 interval Threshold를 적용하기 위한 블록화 알고리즘

  • Yang, Sang-Hoon (Department of Electronics Engineering, Chonbuk National University) ;
  • Lee, Jae-Hwan (Department of Electronics Engineering, Chonbuk National University) ;
  • Park, Dong-Sun (IT Convergence Research Center, Chonbuk National University)
  • Received : 2012.04.02
  • Accepted : 2012.05.10
  • Published : 2012.05.31

Abstract

X-ray fluorescence sprectrum signal include the continuum. XRF analysis the components of material by the amplitude of peaks. XRF remove the noise and background. To remove the noise, we apply the smoothing filter. And background removal methods applied such as SNIP, Morphology, Threshold methods. In this paper, we applied Threshold using DWT. Interval threshold method divide the some blocks in particular levels. We propose the method that is divided the particular level.

X-선 스펙트럼 데이터는 물질의 성분과 관련이 없는 신호(백그라운드, 노이즈)들을 포함 하고 있다. XRF는 스펙트럼에서 가우시안 형태의 피크 위치와 크기를 이용하여 시료의 성분을 분석하며, 시료의 성분을 정확히 분석하기 위해서는 노이즈와 백그라운드를 제거 하여야 한다. 백그라운드를 제거하기 위한 방법으로는 SNIP, Threshold, Morphology 방법 등을 적용하고 있으며, Threshold 기법을 중에서 블록별로 각기 다른 임계값을 적용하는 Interval Threshold기법이 하나의 임계값을 적용하는 Level Threshold 방법보다 더 좋은 성능을 발휘한다. 본 논문에서는 Interval Threshold를 적용하기 위하여 웨이블릿을 이용하여 블록을 분리하는 알고리즘을 제안하였다.

Keywords

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  1. Background Removal from XRF Spectrum using the Interval Partitioning and Classifying vol.50, pp.9, 2013, https://doi.org/10.5573/ieek.2013.50.9.164