IMPLEMENTASI METODE CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION DAN LAPLACIAN OF GAUSSIAN FILTER UNTUK PENINGKATAN KONTRAS CITRA CT
| Main Authors: | Awwalin, Aufi Rizqiatul, Setiawati, Evi, Anam, Choirul |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
BERKALA FISIKA
, 2021
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| Subjects: | |
| Online Access: |
https://ejournal.undip.ac.id/index.php/berkala_fisika/article/view/39825 https://ejournal.undip.ac.id/index.php/berkala_fisika/article/view/39825/19722 |
| ctrlnum |
article-39825 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">IMPLEMENTASI METODE CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION DAN LAPLACIAN OF GAUSSIAN FILTER UNTUK PENINGKATAN KONTRAS CITRA CT</title><creator>Awwalin, Aufi Rizqiatul</creator><creator>Setiawati, Evi</creator><creator>Anam, Choirul</creator><subject lang="en-US">Image quality improvement, CLAHE, Laplacian of Gaussian filter, MSE, PSNR, spatial resolution</subject><description lang="en-US">The  image  obtained  from  the  CT  scanner  has  a  relatively  low  contrast.  Image  contrast  can  be enhanced  by  using  an  algorithm  of  contrast  limited  adaptive  histogram  equalization  (CLAHE). However, the implementation of CLAHE causes an increase  of noise. Furthermore, noise can be reduced  using  a  noise  reduction  filter,  but  it  reduces  the  spatial  resolution  of  the  image.  This study proposed a combination of the CLAHE method and the Laplacian of Gaussian (LoG) filter noise reduction algorithm to obtain images with high contrast,  while maintaining the  noise and spatial  resolution.  In  this  study,  27  abdominal  CT  images  and  MTF  phantom  CT  images  were investigated using our proposed method. As a comparison, this study also evaluated the results of combination  of  CLAHE  and  Gaussian  filters.  Evaluation  of  the  results  of  image  quality improvement  was carried out qualitatively (visually) and quantitatively by calculating the mean squared  error  (MSE),  peak-signal  to  noise  ratio  (PSNR)  and  spatial  resolution  using  a modulation transfer function (MTF) of 10%. The results of this study qualitatively (visually) and quantitatively showed that the combination of CLAHE and LoG filters produces images with high contrast,  while  maintaining the  noise  and  the  spatial  resolution  of  the  image.  Compared  to  the combination of  CLAHE and Gaussian filters or CLAHE alone,  the  combination of CLAHE and Log  filters  provides less  noise  and  higher  spatial  resolution.  Thus,  combination  of  CLAHE  and LoG filters can be used as an alternative algorithm to increase the contrast in CT images.</description><publisher lang="en-US">BERKALA FISIKA</publisher><contributor lang="en-US"/><date>2021-07-05</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:</type><type>File:application/pdf</type><identifier>https://ejournal.undip.ac.id/index.php/berkala_fisika/article/view/39825</identifier><source lang="en-US">BERKALA FISIKA; Vol 24, No 1 (2021): Berkala Fisika; 35-43</source><source>1410-9662</source><language>eng</language><relation>https://ejournal.undip.ac.id/index.php/berkala_fisika/article/view/39825/19722</relation><rights lang="en-US">Copyright (c) 2021 BERKALA FISIKA</rights><recordID>article-39825</recordID></dc>
|
| language |
eng |
| format |
Journal:Article Journal Other:info:eu-repo/semantics/publishedVersion Other Other: File:application/pdf File Journal:eJournal |
| author |
Awwalin, Aufi Rizqiatul Setiawati, Evi Anam, Choirul |
| title |
IMPLEMENTASI METODE CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION DAN LAPLACIAN OF GAUSSIAN FILTER UNTUK PENINGKATAN KONTRAS CITRA CT |
| publisher |
BERKALA FISIKA |
| publishDate |
2021 |
| topic |
Image quality improvement CLAHE Laplacian of Gaussian filter MSE PSNR spatial resolution |
| url |
https://ejournal.undip.ac.id/index.php/berkala_fisika/article/view/39825 https://ejournal.undip.ac.id/index.php/berkala_fisika/article/view/39825/19722 |
| contents |
The image obtained from the CT scanner has a relatively low contrast. Image contrast can be enhanced by using an algorithm of contrast limited adaptive histogram equalization (CLAHE). However, the implementation of CLAHE causes an increase of noise. Furthermore, noise can be reduced using a noise reduction filter, but it reduces the spatial resolution of the image. This study proposed a combination of the CLAHE method and the Laplacian of Gaussian (LoG) filter noise reduction algorithm to obtain images with high contrast, while maintaining the noise and spatial resolution. In this study, 27 abdominal CT images and MTF phantom CT images were investigated using our proposed method. As a comparison, this study also evaluated the results of combination of CLAHE and Gaussian filters. Evaluation of the results of image quality improvement was carried out qualitatively (visually) and quantitatively by calculating the mean squared error (MSE), peak-signal to noise ratio (PSNR) and spatial resolution using a modulation transfer function (MTF) of 10%. The results of this study qualitatively (visually) and quantitatively showed that the combination of CLAHE and LoG filters produces images with high contrast, while maintaining the noise and the spatial resolution of the image. Compared to the combination of CLAHE and Gaussian filters or CLAHE alone, the combination of CLAHE and Log filters provides less noise and higher spatial resolution. Thus, combination of CLAHE and LoG filters can be used as an alternative algorithm to increase the contrast in CT images. |
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Universitas Diponegoro |
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69 |
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library:university library |
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Perpustakaan Universitas Diponegoro |
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485 |
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BERKALA FISIKA |
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803 |
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Fisika |
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SEMARANG |
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JAWA TENGAH |
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IOS803 |
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2021-12-31T18:23:01Z |
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2021-12-31T18:23:01Z |
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