Medical image enhancement using threshold decomposition driven adaptive morphological filter

Tarek A. Mahmoud, Stephen Marshall

Research output: Contribution to conferencePaper

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One of the most common degradations in medical images is their poor contrast quality. This suggests the use of contrast enhancement methods as an attempt to modify the intensity distribution of the image. In this paper, a new edge detected morphological filter is proposed to sharpen digital medical images. This is done by detecting the positions of the edges and then applying a class of morphological filtering. Motivated by the success of threshold decomposition, gradientbased operators are used to detect the locations of the edges. A morphological filter is used to sharpen these detected edges. Experimental results demonstrate that the detected edge deblurring filter improved the visibility and perceptibility of various embedded structures in digital medical images. Moreover, the performance of the proposed filter is superior to that of other sharpener-type filters.
Original languageEnglish
Publication statusUnpublished - Aug 2008
Event16th European Signal Processing Conference - Lausanne, Switzerland
Duration: 25 Aug 200829 Aug 2008


Conference16th European Signal Processing Conference
CityLausanne, Switzerland


  • x-ray
  • medical image enhancement
  • adaptive morphological filter

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