Contrast enhancement in wavelet domain for graph-based segmentation in medical imaging

Authors:
Sarada Prasad Dakua;Julien Abi-Nahed
Affiliations:
Qatar Science & Technology Park/Qatar Robotic Surgery Center, Qatar;Qatar Science & Technology Park/Qatar Robotic Surgery Center, Qatar
Venue:
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Year:
2012

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Abstract

Despite increased image quality including medical imaging, image segmentation continues to represent a major bottle-neck in practical applications due to noise and lack of contrast. In this paper, we present a new methodology to segment low contrast medical images. There are two stages to this approach, 1) a contrast enhancement stage, that uses stochastic resonance theory applied in a wavelet domain, is performed by utilizing the noise present in medical data, and 2) a new weighting function is proposed for traditional graph-based approaches. Both qualitative and quantitative evaluation performed on publicly available databases of two imaging modalities reflect the potential of the proposed method.