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Localisation of the optic disc from fundus photographs
Pěchotová, Barbora ; Kolář, Radim (referee) ; Odstrčilík, Jan (advisor)
This thesis deals with the analysis of retinal images from digital fundus camera, especially with structure of optic disc (OD). The theoretic part describes main features of the human visual system and princip of eyeground examination. The paper discussed sevaral available methods that have been used for localization of the optic disc. In the second part is proposed the automatic detector of the optic disc based on the principle of genetic algorithm by using the method of segmentation of vessels by matched filtering. Original images are tested with this automatic method.
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Localisation of Optic Disc from Fundus Photographs
Pěchotová, Barbora ; Kolář, Radim (referee) ; Odstrčilík, Jan (advisor)
This thesis deals with the analysis of retinal images from digital fundus camera, especially with structure of optic disc (OD). The theoretic part describes main features of the human visual system and princip of eyeground examination. The paper discussed available methods that have been used for localization of optic disc. For further work is selected proposal of the geometrical model of vessel structure by using the method of segmentation of vessels by matched filtering. Original images are tested with semi-automatic method for optic disc localization.
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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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Retinal image registration using phase correlation
Prosser, Jan ; Harabiš, Vratislav (referee) ; Kolář, Radim (advisor)
This master’s thesis is aimed at registration of frames of retinal fundus video using phase corre- lation. An introduction describes general research in topic of retinal fundus, eye movements, diff erent approaches for image registration, phase correlation and examples of phase corre- lation applications. The second, practical part of master’s thesis, is dedicated to description of the proposed algorithm for registration of frames of retinal fundus video. The description of the proposed algorithm is divided into three parts. First two parts describe how frames of retinal fundus video are rated in terms of suitability for registration. Third part describes image registration algorithm itself. In conclusion, the accuracy of algorithm and computational time are evaluated.
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Retinal image registration using phase correlation
Prosser, Jan ; Harabiš, Vratislav (referee) ; Kolář, Radim (advisor)
This master’s thesis is aimed at registration of frames of retinal fundus video using phase corre- lation. An introduction describes general research in topic of retinal fundus, eye movements, diff erent approaches for image registration, phase correlation and examples of phase corre- lation applications. The second, practical part of master’s thesis, is dedicated to description of the proposed algorithm for registration of frames of retinal fundus video. The description of the proposed algorithm is divided into three parts. First two parts describe how frames of retinal fundus video are rated in terms of suitability for registration. Third part describes image registration algorithm itself. In conclusion, the accuracy of algorithm and computational time are evaluated.
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Localisation of Optic Disc from Fundus Photographs
Pěchotová, Barbora ; Kolář, Radim (referee) ; Odstrčilík, Jan (advisor)
This thesis deals with the analysis of retinal images from digital fundus camera, especially with structure of optic disc (OD). The theoretic part describes main features of the human visual system and princip of eyeground examination. The paper discussed available methods that have been used for localization of optic disc. For further work is selected proposal of the geometrical model of vessel structure by using the method of segmentation of vessels by matched filtering. Original images are tested with semi-automatic method for optic disc localization.
|
|
|
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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Localisation of the optic disc from fundus photographs
Pěchotová, Barbora ; Kolář, Radim (referee) ; Odstrčilík, Jan (advisor)
This thesis deals with the analysis of retinal images from digital fundus camera, especially with structure of optic disc (OD). The theoretic part describes main features of the human visual system and princip of eyeground examination. The paper discussed sevaral available methods that have been used for localization of the optic disc. In the second part is proposed the automatic detector of the optic disc based on the principle of genetic algorithm by using the method of segmentation of vessels by matched filtering. Original images are tested with this automatic method.
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