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Optic disc detection in video sequences from video ophthalmoscope
Čermák, Marek ; Mézl, Martin (referee) ; Odstrčilík, Jan (advisor)
This work is focused on automatic detection of optic disc in retinal images. There is briefly described anatomy of human eye, principles of retinal imaging and also overview of the methods used for optic disc detection. The practical part describes developed procedures for optic disc detection, ie detection based on watershed transform, active contours and also on region growing technique. The main method of this work is the method of circular transformation, which as the only one allowed to detect the optic disc on the images of video ophtalmoscope and also on the high quality images from fundus cameras. This method was tested on three datasets. The average overlap 92,44 % was achieved for HRF dataset, 91,03 for DRIONS dataset and 77,36 for images of video ophtalmoscope.
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Optic Disc Detection in retinal video-sequences
Černohorská, Lucie ; Odstrčilík, Jan (referee) ; Labounková, Ivana (advisor)
This semestral thesis deals with the detection of optical disc from retina images taken by experimental video – ophthalmoscope. There is briefly destribed anatomy of human eye, its illness and also overview of imaging and diagnostics methods of retinal. The thesis discussed several methods, which can be used for the detection of optical disc. The practical part of semestral thesis is focused on application of Hough transform on images from ophthalmoscope. The suggested algorithm is tested on 25 retinal sequences. The accuracy of detection of optical disc on still image is 71,10 %. The thesis deals with detection of OD movement and the accuracy of the detection is evaluated using a reference movement signal.
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Optic Disc Detection in retinal video-sequences
Černohorská, Lucie ; Odstrčilík, Jan (referee) ; Labounková, Ivana (advisor)
This semestral thesis deals with the detection of optical disc from retina images taken by experimental video – ophthalmoscope. There is briefly destribed anatomy of human eye, its illness and also overview of imaging and diagnostics methods of retinal. The thesis discussed several methods, which can be used for the detection of optical disc. The practical part of semestral thesis is focused on application of Hough transform on images from ophthalmoscope. The suggested algorithm is tested on 25 retinal sequences. The accuracy of detection of optical disc on still image is 71,10 %. The thesis deals with detection of OD movement and the accuracy of the detection is evaluated using a reference movement signal.
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Optic disc detection in video sequences from video ophthalmoscope
Čermák, Marek ; Mézl, Martin (referee) ; Odstrčilík, Jan (advisor)
This work is focused on automatic detection of optic disc in retinal images. There is briefly described anatomy of human eye, principles of retinal imaging and also overview of the methods used for optic disc detection. The practical part describes developed procedures for optic disc detection, ie detection based on watershed transform, active contours and also on region growing technique. The main method of this work is the method of circular transformation, which as the only one allowed to detect the optic disc on the images of video ophtalmoscope and also on the high quality images from fundus cameras. This method was tested on three datasets. The average overlap 92,44 % was achieved for HRF dataset, 91,03 for DRIONS dataset and 77,36 for images of video ophtalmoscope.
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