An Optimal Algorithm for Enhancing the Contrast of Chest Images Using the Frequency Filters Based on Fuzzy Logic
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 bl...
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Published in | Journal of Information and Communication Convergence Engineering, 15(2) Vol. 15; no. 2; pp. 131 - 136 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
한국정보통신학회JICCE
01.06.2017
한국정보통신학회 |
Subjects | |
Online Access | Get full text |
ISSN | 2234-8255 2234-8883 |
DOI | 10.6109/jicce.2017.15.2.131 |
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Abstract | 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. KCI Citation Count: 0 |
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AbstractList | 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. KCI Citation Count: 0 |
Author | Chai-Yeoung Jung Choong-Ho Shin |
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Title | An Optimal Algorithm for Enhancing the Contrast of Chest Images Using the Frequency Filters Based on Fuzzy Logic |
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