Journal article
Robust multiscale stereo matching from fundus images with radiometric differences
IEEE transactions on pattern analysis and machine intelligence, Vol.33(11), pp.2245-2258
11/2011
DOI: 10.1109/TPAMI.2011.69
PMCID: PMC3580181
PMID: 21464502
Abstract
A robust multiscale stereo matching algorithm is proposed to find reliable correspondences between low contrast and weakly textured retinal image pairs with radiometric differences. Existing algorithms designed to deal with piecewise planar surfaces with distinct features and Lambertian reflectance do not apply in applications such as 3D reconstruction of medical images including stereo retinal images. In this paper, robust pixel feature vectors are formulated to extract discriminative features in the presence of noise in scale space, through which the response of low-frequency mechanisms alter and interact with the response of high-frequency mechanisms. The deep structures of the scene are represented with the evolution of disparity estimates in scale space, which distributes the matching ambiguity along the scale dimension to obtain globally coherent reconstructions. The performance is verified both qualitatively by face validity and quantitatively on our collection of stereo fundus image sets with ground truth, which have been made publicly available as an extension of standard test images for performance evaluation.
Details
- Title: Subtitle
- Robust multiscale stereo matching from fundus images with radiometric differences
- Creators
- Li Tang - Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA 52242, USA. li-tang-1@uiowa.eduMona K GarvinKyungmoo LeeWallace L M AlwardYoung H KwonMichael D Abràmoff
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on pattern analysis and machine intelligence, Vol.33(11), pp.2245-2258
- DOI
- 10.1109/TPAMI.2011.69
- PMID
- 21464502
- PMCID
- PMC3580181
- NLM abbreviation
- IEEE Trans Pattern Anal Mach Intell
- ISSN
- 0162-8828
- eISSN
- 1939-3539
- Publisher
- United States
- Grant note
- R01 EY019112 / NEI NIH HHS R01 EY017066 / NEI NIH HHS R01 EY018853 / NEI NIH HHS
- Language
- English
- Date published
- 11/2011
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Ophthalmology and Visual Sciences
- Record Identifier
- 9983806290402771
Metrics
24 Record Views