한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제15권12호
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  • Pages.1409-1416
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  • 2012
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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Contrast Enhancement for Segmentation of Hippocampus on Brain MR Images

  • 투고 : 2012.02.07
  • 심사 : 2012.08.02
  • 발행 : 2012.12.31
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초록

An image segmentation result depends on pre-processing steps such as contrast enhancement, edge detection, and smooth filtering etc. Especially medical images are low contrast and contain some noises. Therefore, the contrast enhancement and noise removal techniques are required in the pre-processing. In this study, we present an extension by a novel histogram equalization in which both local and global contrast is enhanced using neighborhood metrics. When checking neighborhood information, filters can simultaneously improve image quality. Most important is that original image information can be used for both global brightness preserving and local contrast enhancement, and image quality improvement filtering. Our experiments confirmed that the proposed method is more effective than other similar techniques reported previously.

키워드

참고문헌

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  2. Semi-automated Approach to Hippocampus Segmentation Using Snake from Brain MRI vol.17, pp.5, 2014, https://doi.org/10.9717/kmms.2014.17.5.566
  3. Implementation of 2D Snake Model-based Segmentation on Corpus Callosum vol.17, pp.12, 2014, https://doi.org/10.9717/kmms.2014.17.12.1412
  4. Implementation of 2D Active Shape Model-based Segmentation on Hippocampus vol.17, pp.1, 2014, https://doi.org/10.9717/kmms.2014.17.1.001
  5. A Novel Filter ed Bi-Histogram Equalization Method vol.18, pp.6, 2015, https://doi.org/10.9717/kmms.2015.18.6.691