Name
Title | ||
|---|---|---|
3d Image Interpolation Based On Anisotropic Diffusion Of Feature Point Correspondence |
Abstract | ||
|---|---|---|
An automatic method has been developed to interpolate between neighboring slices in a gray-scale data set by anisotropic diffusion of feature point correspondence. The feature point extracted is registered to form the feature vector. Thus a three dimensional (3D) weight anisotropic vector diffusion is introduced to spread the feature vector to the correspondence vector, which estimates spatial correspondence between adjacent slices. Bilinear interpolation is made along the direction of correspondence vector. Experiments are performed on medical data sets to evaluate the proposed method, showing that the new algorithm achieves good quality and improvement in efficiency relative to the traditional methods. (c) 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 338-345, 2013 |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1002/ima.22069 | INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY |
Keywords | Field | DocType |
interpolation, registration, gradient vector flow, anisotropic diffusion | Anisotropic diffusion,Data set,Mathematical optimization,Feature vector,Point correspondence,Anisotropy,Interpolation,Mathematics,3d image,Bilinear interpolation | Journal |
Volume | Issue | ISSN |
23 | 4 | 0899-9457 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiang Sang | 1 | 4 | 0.74 |
| Jian-Zhou Zhang | 2 | 22 | 5.38 |