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Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04)
3D Non-Linear Invisible Boundary Detection Filters
Thessaloniki, Greece
September 06-September 09
ISBN: 0-7695-2223-8
Maria Petrou, University of Surrey, Guildford
Farahnaz Mohanna, University of Surrey, Guildford
Vassili Kovalev, University of Surrey, Guildford
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.
Citation:
Maria Petrou, Farahnaz Mohanna, Vassili Kovalev, "3D Non-Linear Invisible Boundary Detection Filters," 3dpvt, pp.970-978, Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04), 2004
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