DocumentCode :
3401245
Title :
A robust method for extracting and labelling mires in keratographic images
Author :
Vila, Ingrid ; Cazuguel, Guy ; Mehaute, Main Le ; Malet, Florence ; Colin, Joseph
Author_Institution :
ETSETB, Jorge Giron Salgado, Barcelone, Spain
Volume :
2
fYear :
1995
fDate :
20-23 Sep 1995
Firstpage :
1431
Abstract :
The authors are interested in the construction of geometric models for the human cornea. The models require the knowledge of a finite number of points, defined on the surface of the cornea, by their position in the 3D space. Processing digitized keratographic images gives the elevation of corneal points, with respect to a reference plane, using luminous rings reflected off the cornea. The first step of the process is to correctly extract and label rings points. The authors propose an efficient method for this aim, based on a geometric transformation of the images, followed by an edge tracking process using a graph search algorithm
Keywords :
edge detection; eye; geometry; medical image processing; surface topography measurement; 3D space; corneal surface; corneal topography measurement; edge tracking process; geometric models construction; geometric transformation; graph search algorithm; keratographic images; medical diagnostic imaging; mires extraction; mires labelling; reference plane; reflected luminous rings; Content addressable storage; Cornea; Humans; Image edge detection; Instruments; Labeling; Mathematical model; Robustness; Solid modeling; Surface topography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
Type :
conf
DOI :
10.1109/IEMBS.1995.579762
Filename :
579762
Link To Document :
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