Title :
Reconstruction of medical images by perspective shape-from-shading
Author :
Tankus, Ariel ; Sochen, Nir ; Yeshurun, Yehezkel
Author_Institution :
Dept. of Comput. Sci., Tel Aviv Univ., Israel
Abstract :
Shape-from-shading (SfS) is a fundamental problem in computer vision; it is based upon the image irradiance equation. Recently, the authors proposed to solve the image irradiance equation under the assumption of perspective projection rather than the common orthographic one. The solution was a modification of the fast marching method of Kimmel and Sethian. This paper presents an application of this novel perspective algorithm to reconstruction of medical images. We focus on gastrointestinal endoscopy and compare the two versions of the fast marching method (orthographic vs. perspective). The examples and comparison show that, unlike orthographic SfS, perspective SfS is robust and can be utilized for real-life applications.
Keywords :
computer vision; endoscopes; image reconstruction; medical image processing; computer vision; fast marching method; gastrointestinal endoscopy; image irradiance equation; medical image reconstruction; perspective projection method; shape from shading problem; Application software; Biomedical imaging; Computer science; Computer vision; Endoscopes; Equations; Gastrointestinal tract; Image reconstruction; Layout; Robustness;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334644