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3D non-linear invisible boundary detection filters | IEEE Conference Publication | IEEE Xplore

3D non-linear invisible boundary detection filters


Abstract:

The human vision system can discriminate regions which differ up to the second order statistics only. A lot of malignant tumours have boundaries which are not visible to ...Show More

Abstract:

The human vision system can discriminate regions which differ up to the second order statistics only. A lot of malignant tumours have boundaries which are not visible to the human eye. We present an algorithm designed to reveal "hidden" boundaries in grey level images, by computing gradients in higher order statistics of the data. We demonstrate it by applying it to the identification of possible "hidden" boundaries of gliomas as manifest themselves in MRI 3D scans.
Date of Conference: 09-09 September 2004
Date Added to IEEE Xplore: 20 September 2004
Print ISBN:0-7695-2223-8
Conference Location: Thessaloniki, Greece

References

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