Title :
3D non-linear invisible boundary detection filters
Author :
Petrou, Maria ; Mohanna, Farahnaz ; Kovalev, Vassili
Author_Institution :
Sch. of Electron. & Phys. Sci., Surrey Univ., Guildford, UK
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.
Keywords :
biomedical MRI; brain; computer vision; edge detection; higher order statistics; image scanners; nonlinear filters; tumours; 3D nonlinear invisible filter; MRI 3D scans; edge detection; higher order statistics; human vision system; malignant tumour; Cancer; Detectors; Filters; Higher order statistics; Humans; Image edge detection; Machine vision; Signal processing algorithms; Statistical distributions; Tumors;
Conference_Titel :
3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004. Proceedings. 2nd International Symposium on
Print_ISBN :
0-7695-2223-8
DOI :
10.1109/TDPVT.2004.1335421
