Astigmatism and eye shape

Bob Zhang; Jia You; Fakhri Karray; Chea Su Kee; Qin Li

Astigmatism and eye shape

Bob Zhang, Jia You, Fakhri Karray, Chea Su Kee, Qin Li

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

A hierarchical system to classify bird eyes suffering from refractive error is developed in order to investigate eye shape in normal and astigmatic eyeballs. The eyes are first segmented in order to obtain its outer boundary. Thirteen features based on geometry are extracted from the 71 segmented images and used for classification. The system achieves an accuracy of 97.334% when classifying three types: normal, myopia and hyperopia. When classification is based on each feature, the left and right curvature halves of the eye demonstrate the most discriminative power.

Original language	English
Title of host publication	Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009
Pages	72-77
Number of pages	6
Volume	1
Publication status	Published - 1 Dec 2009
Event	2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009 - Las Vegas, NV, United States Duration: 13 Jul 2009 → 16 Jul 2009

Conference

Conference	2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009
Country/Territory	United States
City	Las Vegas, NV
Period	13/07/09 → 16/07/09

Keywords

Astigmatism
Hyperopia
Myopia
Refractive error

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition

Cite this

@inproceedings{728781e3c039430194ff67cfd79cf6da,

title = "Astigmatism and eye shape",

abstract = "A hierarchical system to classify bird eyes suffering from refractive error is developed in order to investigate eye shape in normal and astigmatic eyeballs. The eyes are first segmented in order to obtain its outer boundary. Thirteen features based on geometry are extracted from the 71 segmented images and used for classification. The system achieves an accuracy of 97.334% when classifying three types: normal, myopia and hyperopia. When classification is based on each feature, the left and right curvature halves of the eye demonstrate the most discriminative power.",

keywords = "Astigmatism, Hyperopia, Myopia, Refractive error",

author = "Bob Zhang and Jia You and Fakhri Karray and Kee, {Chea Su} and Qin Li",

year = "2009",

month = dec,

day = "1",

language = "English",

isbn = "9781601321190",

volume = "1",

pages = "72--77",

booktitle = "Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009",

note = "2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009 ; Conference date: 13-07-2009 Through 16-07-2009",

}

TY - GEN

T1 - Astigmatism and eye shape

AU - Zhang, Bob

AU - You, Jia

AU - Karray, Fakhri

AU - Kee, Chea Su

AU - Li, Qin

PY - 2009/12/1

Y1 - 2009/12/1

N2 - A hierarchical system to classify bird eyes suffering from refractive error is developed in order to investigate eye shape in normal and astigmatic eyeballs. The eyes are first segmented in order to obtain its outer boundary. Thirteen features based on geometry are extracted from the 71 segmented images and used for classification. The system achieves an accuracy of 97.334% when classifying three types: normal, myopia and hyperopia. When classification is based on each feature, the left and right curvature halves of the eye demonstrate the most discriminative power.

AB - A hierarchical system to classify bird eyes suffering from refractive error is developed in order to investigate eye shape in normal and astigmatic eyeballs. The eyes are first segmented in order to obtain its outer boundary. Thirteen features based on geometry are extracted from the 71 segmented images and used for classification. The system achieves an accuracy of 97.334% when classifying three types: normal, myopia and hyperopia. When classification is based on each feature, the left and right curvature halves of the eye demonstrate the most discriminative power.

KW - Astigmatism

KW - Hyperopia

KW - Myopia

KW - Refractive error

UR - http://www.scopus.com/inward/record.url?scp=84864927923&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 9781601321190

VL - 1

SP - 72

EP - 77

BT - Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009

T2 - 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009

Y2 - 13 July 2009 through 16 July 2009

ER -

Astigmatism and eye shape

Abstract

Conference

Keywords

ASJC Scopus subject areas

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