Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/21336
Title: Identification of retina image size in relation to Electrooculography signal
Authors: Siti Zubaidah, Mohd Tumari
Rubita, Sudirman
Abdul Hamid, Ahmad
Keywords: Pupil
Electrooculography (EOG) signal
EEG machine,
MATLAB
Filtering
Issue Date: 27-Feb-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: p. 253-257
Series/Report no.: Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012)
Abstract: The aim of this study is to identify retina image size relation to Electrooculography signal. USB Digital Microscope is the process to find the diameter pupil. Other than that, EEG machine Neurofax 9200 was used to acquire the EOG signal acquisition when eye move up, down, right and left. MATLAB is used to analyze the image and measure the diameter of pupil image and implement the signal acquisition that presented in the EEG machine. The image was lay emphasis on their edges, therefore easier to realize with our naked eyes. The nature of the sharpening is prejudiced by the blurring radius using difference pixel. Several approaches have been substantiated to measure the diameter of pupil such as edge detection, active contour, binarization and others. Aiming at the signal acquisition the methods that being used is Second Order Butterworth filter and frequency domain. The visual effects to form image appear sharper, the original image which is in RGB or true color that comprise a lot of noise was produced by program design using MATLAB. Base on both results, the relation between size of pupil and EOG signal can be obtained and identified.
Description: Link to publisher's homepage at http://ieeexplore.ieee.org/
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179015
http://dspace.unimap.edu.my/123456789/21336
ISBN: 978-145771989-9
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
4A3.pdf936.2 kBAdobe PDFView/Open


Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.