Paper Info
Title
CRF-Based Segmentation of Human Tear Meniscus Obtained with Optical Coherence Tomography
Abstract
Tear film The dynamic variation of the human tear meniscus (tears around the eye lids) is very critical in visual function, maintenance of corneal integrity, and ocular comfort. The quantitative measuring of the tear menisci around the eyelids is though a challenging task. In our work, tear meniscus images are obtained with our custom-built Optical Coherence Tomography (OCT) and are processed using our novel segmentation method. For the latter, we use an implicit deformable model driven by a Conditional Random Field (CRF). The evolution of the model is solved as MAP estimation. The target conditional probability is decomposed using a simple graphical model, where the probability field of the pixel labels given the image observations is estimated using a discriminative CRF. Our results show that our segmentation approach successfully handles clutter and boundary ambiguities of the tear menisci, which makes our integrated system reliable for the every day medical practice. Eyelid region Eyelid region
Year
DOI
Venue
2007
10.1109/ICIP.2007.4379877
Image Processing, 2007. ICIP 2007. IEEE International Conference
Keywords
DocType
Volume
eye,image segmentation,maximum likelihood estimation,medical image processing,optical tomography,probability,random processes,CRF-based segmentation,MAP estimation,conditional random field,corneal integrity,deformable model,eye lids,graphical model,human tear meniscus,ocular comfort,optical coherence tomography,target conditional probability,CRF-based segmentation,Optical Coherence Tomography,Tear Meniscus,deformable models
Conference
5
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-1437-6
978-1-4244-1437-6
0
PageRank 
References 
Authors
0.34
8
2
Name
Order
Citations
PageRank
Gabriel Tsechpenakis116014.47
Jianhua Wang201.01