ASSESSMENT OF CORNEAL ULCER SIZE PROGRESSION USING DIGITAL IMAGE PROCESSING.
This project aims to perform assessment of corneal ulcer progression using digital image processing. Corneal ulcer isa type of eye disease that presently approaches 1.5 to 2 millions patients per year at developing world, estimated by World Health Organization. Current methods are mainly clinical...
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Universiti Teknologi Petronas
2005
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my-utp-utpedia.76052017-01-25T09:46:37Z http://utpedia.utp.edu.my/7605/ ASSESSMENT OF CORNEAL ULCER SIZE PROGRESSION USING DIGITAL IMAGE PROCESSING. HUSSEIN, NURUL HANANI TK Electrical engineering. Electronics Nuclear engineering This project aims to perform assessment of corneal ulcer progression using digital image processing. Corneal ulcer isa type of eye disease that presently approaches 1.5 to 2 millions patients per year at developing world, estimated by World Health Organization. Current methods are mainly clinical assessment and bacteriological identification. Several problems are identified, which are parameters measured are inaccurate, difficulties in handling patients and only same ophthalmologist has to examine the progression of a patient. The study focuses onenhances and analyze eye images. Several steps of image enhancement have been performed by MATLAB to increase quality of the images. The methods used are grayscale conversion, intensity vale adjustment, image subtraction and thresholding. Analysis of corneal ulcer progression is established by using parameters measured; area, height and width. Finally, graphical user interface (GUI) is developed. Its aim is to ease ophthalmologist in monitoring corneal ulcer progression. Universiti Teknologi Petronas 2005-06 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/7605/1/2005%20-%20ASSESSMENT%20OF%20CORNEAL%20ULCER%20SIZE%20PROGRESSION%20USING%20DIGITAL%20IMAGE%20PROCESSING.pdf HUSSEIN, NURUL HANANI (2005) ASSESSMENT OF CORNEAL ULCER SIZE PROGRESSION USING DIGITAL IMAGE PROCESSING. Universiti Teknologi Petronas. (Unpublished) |
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TK Electrical engineering. Electronics Nuclear engineering HUSSEIN, NURUL HANANI ASSESSMENT OF CORNEAL ULCER SIZE PROGRESSION USING DIGITAL IMAGE PROCESSING. |
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This project aims to perform assessment of corneal ulcer progression using digital
image processing. Corneal ulcer isa type of eye disease that presently approaches 1.5
to 2 millions patients per year at developing world, estimated by World Health
Organization. Current methods are mainly clinical assessment and bacteriological
identification. Several problems are identified, which are parameters measured are
inaccurate, difficulties in handling patients and only same ophthalmologist has to
examine the progression of a patient. The study focuses onenhances and analyze eye
images. Several steps of image enhancement have been performed by MATLAB to
increase quality of the images. The methods used are grayscale conversion, intensity
vale adjustment, image subtraction and thresholding. Analysis of corneal ulcer
progression is established by using parameters measured; area, height and width.
Finally, graphical user interface (GUI) is developed. Its aim is to ease
ophthalmologist in monitoring corneal ulcer progression. |
format |
Final Year Project |
author |
HUSSEIN, NURUL HANANI |
author_facet |
HUSSEIN, NURUL HANANI |
author_sort |
HUSSEIN, NURUL HANANI |
title |
ASSESSMENT OF CORNEAL ULCER SIZE PROGRESSION USING
DIGITAL IMAGE PROCESSING. |
title_short |
ASSESSMENT OF CORNEAL ULCER SIZE PROGRESSION USING
DIGITAL IMAGE PROCESSING. |
title_full |
ASSESSMENT OF CORNEAL ULCER SIZE PROGRESSION USING
DIGITAL IMAGE PROCESSING. |
title_fullStr |
ASSESSMENT OF CORNEAL ULCER SIZE PROGRESSION USING
DIGITAL IMAGE PROCESSING. |
title_full_unstemmed |
ASSESSMENT OF CORNEAL ULCER SIZE PROGRESSION USING
DIGITAL IMAGE PROCESSING. |
title_sort |
assessment of corneal ulcer size progression using
digital image processing. |
publisher |
Universiti Teknologi Petronas |
publishDate |
2005 |
url |
http://utpedia.utp.edu.my/7605/1/2005%20-%20ASSESSMENT%20OF%20CORNEAL%20ULCER%20SIZE%20PROGRESSION%20USING%20DIGITAL%20IMAGE%20PROCESSING.pdf http://utpedia.utp.edu.my/7605/ |
_version_ |
1739831485497606144 |
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13.211869 |