• 제목/요약/키워드: High Frequency Emphasis Filter

검색결과 9건 처리시간 0.025초

An Enhanced Algorithm for an Optimal High-Frequency Emphasis Filter Based on Fuzzy Logic for Chest X-Ray Images

  • Shin, Choong-Ho;Lee, Jung-Jai;Jung, Chai-Yeoung
    • Journal of information and communication convergence engineering
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    • 제13권4호
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    • pp.264-269
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    • 2015
  • The chest X-ray image cannot be focused in the same manner that optical lenses are and the resultant image generally tends to be slightly blurred. Therefore, the methods to improve the quality of chest X-ray image have been studied. In this paper, the inherent noises of the input images are suppressed by adding the Laplacian image to the original. First, the chest X-ray image using an Gaussian high pass filter and an optimal high frequency emphasis filter has shown improvements in the edges and contrast of flat areas. Second, using fuzzy logic_histogram equalization, each pixel of the chest X-ray image shows the normal distribution of intensities that are not overexposed. As a result, the proposed method has shown the enhanced edge and contrast of the images with the noise canceling effect.

최적화된 고주파 강조 필터를 이용한 의료영상의 개선 (An Enhancement of Medical Image Using Optimized High-Frequency Emphasis Filter)

  • 신충호;정채영
    • 한국정보통신학회논문지
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    • 제17권3호
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    • pp.698-704
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    • 2013
  • 영상개선을 위한 영상처리는 응용분야에 따라서 동일한 알고리즘이 각각 다르게 적용되므로 응용분야에 적합한 최적값이 필요하다. 본 논문에서는 X선 의료영상분야에 고주파통과 필터를 적용해서 에지영역을 개선하였고, 결과영상에 상수승수와 오프셋을 더하여 에지영역 및 평탄영역의 컨트라스트를 향상시켰다. 그러므로, 의료영상을 최적화시키기 위해서는 고주파강조필터가 필요함을 알 수 있었다. 또한, 구체적인 최적화 변수값으로는 가우시안 고주파통과필터, 차단주파수의 거리=0.05, 오프셋=0.5 값이다. 마지막으로 이들 최적화 변수값을 적용시켜 시뮬레이션 한 결과, 제안된 방법이 기존 방법들에 비해서 영상의 컨트라스트와 에지부분들을 향상시켰다.

An Optimal Method to Improve the Visual Quality of Medical Images

  • Shin, Choong-ho;Jung, Chai-yeoung
    • 통합자연과학논문집
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    • 제8권2호
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    • pp.141-144
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    • 2015
  • As the visual quality of X-ray images is a critical reference for the accuracy of the clinical diagnosis, the methods to improve the quality of X-ray images have been investigated. Among many existing methods, using frequency domain filter is a very powerful method to improve the visual quality of images. In this paper, the inherent noises of the input images are suppressed by adding the Laplacian image to the subjected image. The medical X-ray images using the optimal high pass filter has shown improved edges. Further, the optimal high frequency emphasis filter has shown the improved contrast of flat areas by using the result image from the optimal high pass filter. Also the resulting images of the global contrast have improved by the histogram equalization. As a result, the proposed methods have shown enhanced contrast and edges of the images with noise canceling effect.

An Optimal Algorithm for Enhancing the Contrast of Chest Images Using the Frequency Filters Based on Fuzzy Logic

  • Shin, Choong-Ho;Jung, Chai-Yeoung
    • Journal of information and communication convergence engineering
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    • 제15권2호
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    • pp.131-136
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    • 2017
  • Chest X-ray image cannot be focused in the same manner as optical lenses and the resultant image generally tends to be slightly blurred. Therefore, appropriate methods to improve the quality of chest X-ray image have been studied in this paper. As the frequency domain filters work well for slight blurring and moderate levels of additive noises, we propose an algorithm that is particularly suitable for enhancing chest image. First, the chest image using Gaussian high pass filter and the optimal high frequency emphasis filter shows improvements in the edges and contrast of the flat areas. Second, as compared to using histogram equalization where each pixel of chest image is characterized by a loss of detail and much noises, in using fuzzy logic, each pixel of chest image shows the detail preservation and little noise.

고주파 강조필터를 이용한 의료영상의 화질향상을 위한 최적화 방법 (A Visual Quality Enhancement of Medical Image Using Optimized High-Frequency Emphasis Filter)

  • 신충호;정채영
    • 한국정보통신학회논문지
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    • 제18권7호
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    • pp.1681-1685
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    • 2014
  • 의료영상의 화질이 진단의 정확성에 중요한 요소이다. 그러므로 의료영상의 화질을 향상시킬 수 있는 방법들이 연구되어져 왔다. 그 중에서 주파수 도메인 필터가 영상의 화질을 향상시킬 수 있는 강력한 도구이다. 본 논문에서는 X선 의료영상에 기존의 고주파통과 필터에 최적값을 적용해서 에지영역을 개선하였고, 결과영상에 기존의 고주파 강조 필터에 최적값을 사용하여 에지영역 및 평탄영역의 대비를 향상시켰다. 마지막으로, 최소평균제곱오차필터를 사용해서 결과영상에 잡음을 최소화했다. 결과적으로, 제안된 방법이 기존 필터들에 비해서 영상의 대비와 에지부분들을 향상시켰으며, 더불어 잡음제거의 효과를 보였다.

An Enhancement of Image Segmentation Using Modified Watershed Algorithm

  • Kwon, Dong-Jin
    • International journal of advanced smart convergence
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    • 제11권4호
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    • pp.81-87
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    • 2022
  • In this paper, we propose a watershed algorithm that applies a high-frequency enhancement filter to emphasize the boundary and a local adaptive threshold to search for minimum points. The previous method causes the problem of over-segmentation, and over- segmentation appears around the boundary of the object, creating an inaccurate boundary of the region. The proposed method applies a high-frequency enhancement filter that emphasizes the high-frequency region while preserving the low-frequency region, and performs a minimum point search to consider local characteristics. When merging regions, a fixed threshold is applied. As a result of the experiment, the proposed method reduced the number of segmented regions by about 58% while preserving the boundaries of the regions compared to when high frequency emphasis filters were not used.

LSP를 이용한 성문 스펙트럼 기울기 추정에 관한 연구 (A Study on the Estimation of Glottal Spectrum Slope Using the LSP (Line Spectrum Pairs))

  • 민소연;장경아
    • 음성과학
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    • 제12권4호
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    • pp.43-52
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    • 2005
  • The common form of pre-emphasis filter is $H(z)\;=\;1\;- az^{-1}$, where a typically lies between 0.9 and 1.0 in voiced signal. Also, this value reflects the degree of filter and equals R(1)/R(0) in Auto-correlation method. This paper proposes a new flattening algorithm to compensate the weaked high frequency components that occur by vocal cord characteristic. We used interval information of LSP to estimate formant frequency. After obtaining the value of slope and inverse slope using linear interpolation among formant frequency, flattening process is followed. Experimental results show that the proposed algorithm flattened the weaked high frequency components effectively. That is, we could improve the flattened characteristics by using interval information of LSP as flattening factor at the process that compensates weaked high frequency components.

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고주파용 세라믹 필터의 제작을 위한 디자인 해석 (The Design Simulation for Manufacture of High Frequence Ceramic Filter)

  • 이수호;석정영;류기흥;사공건;윤광희;류주현;박창엽
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2001년도 추계학술대회 논문집
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    • pp.418-421
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    • 2001
  • The ceramic filters were developed using technology similar to that of quartz crystal and electro- mechanical filter. However, the key to this development involved the theoretical analysis of vibration modes and material improvements of piezoelectric ceramics. The primary application of ceramic filters has been for consumer-market use. Accordingly, a major emphasis has involved mass production technology, leading to low-priced devices. A typical ceramic filter includes monolithic resonators and capacitors packaged in unique configurations. Nakazawa developed a double-mode resonator as two acoustically coupled single resonators. And he developed 10.7MHz crystal filters using multi-energy trapping mode of thickness shear vibration. He succeeded in realizing a two-pole band pass filter response without external inductance by splitting a dot electrode to creak coupled symmetric and anti- symmetric vibration modes. Accordingly, the simulation for ceramic (inter were important. So that, this paper were investigated the pass frequency of filter on the electrode length and thickness of ceramic.

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QMF에 의한 음성스펙트럼의 평탄화 알고리즘 (The Flattening Algorithm of Speech Spectrum by Quadrature Mirror Filter)

  • 민소연
    • 한국산학기술학회논문지
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    • 제7권5호
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    • pp.907-912
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    • 2006
  • 음성신호의 프리-엠퍼시스 과정은 고주파 영역의 약화된 성분을 보상하기 위해 사용되어진다. 프리-엠퍼시스 필터의 일반적인 형태는 y(n)=s(n)-A${\cdot}$s(n-1)이고, A 값은 유성음의 경우$0.9{\sim}1.0$ 사이의 값이다. 그리고, A 값은 프리-엠퍼시스의 기울기 값을 반영하고 기존의 방법에서는 R(1)/R(0)를 사용한다. 본 논문에서는 성문특성으로 인해 고주파 특성이 약화되는 것을 보상하기 위하여 새로운 평탄화 기법을 제안한다. 우선 신호 왜곡의 최소화를 위하여 QMF를 사용하였다. QMF를 사용한 후, 각 프레임별 자기상관계수를 사용하여 평탄화 과정을 수행하였다. 실험결과에서는 제안한 방법이 자기상관 방법보다 약화된 고주파 성분을 효과적으로 보상하는 평탄화 특성이 우수한 것으로 나타났다. 그러므로 평탄화 알고리즘은 음성 인식, 음성 분석 및 합성 등과 같은 음성 신호 처리 분야에 광범위하게 적용되어질 수 있다.

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