Title: | A Computerized Method to Diagnose Strabismus Based on a Novel Method for Pupil Segmentation |
Authors: | Mosa, Ahmad Haj Ali, Mouhannad Kyamakya, Kyandoghere |
Citation: | ISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. III-3-III-4. |
Issue Date: | 2013 |
Publisher: | University of West Bohemia |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://hdl.handle.net/11025/11482 |
ISBN: | 978-80-261-0246-5 |
Keywords: | segmentace pupily;infračervené záření;diagnostické metody;strabismus |
Keywords in different language: | pupil segmentation;infrared illumination;diagnostic methods;strabismus |
Abstract: | Strabismus is a disease of the human visual system in which the eyes are not properly aligned which results in gazing in different. This paper presents a computer vision driven method for a quantitative decision support in the diagnosis of the disease. An infrared (IR) camera with IR illumination is used to capture the patient eyes. The proposed method estimates the normal vectors of both pupils, and measures the enclosed angle in realtime while the patient gazes at different predefined points. The three main processing steps in the proposed algorithm are: (i) Eye detection using Haar features combined with an Adaboost classifier. (ii) A novel method was developed to detect the ellipse of the pupil in the image frame; this method uses a line integral to detect the pupil ellipse in real time. (iii) Estimation of the pupil normal vector based on the parameters of the segmented pupil ellipse. All three methods were evaluated on real human eyes and on an eye model. |
Rights: | © University of West Bohemia |
Appears in Collections: | ISTET 2013 ISTET 2013 ISTET 2013 |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/11482
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