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Detection of optic disc from fundus camera sequences
Juráček, Radek ; Harabiš, Vratislav (referee) ; Hracho, Michal (advisor)
This semestral thesis deals with shape detection in images and application of it for detection of optic disk in sequence of fundus camera images. It describes major features of the human eye and retinal diseases. Further the thesis discusses some methods of image preprocessing, segmentation and generalised Hough transform for fundus images which is the main work content for optic disc localization. Practical part describes the proposed methods for detection of optical disk based on a circular Hough transformation and adapted filtering. Method of adaptad filtering achieved median of overlap 59,1%, method using fast Hough transform algorithm achieved median of overlap 24,95%, method using clasic Hough transform algorithm achieved median of overlap 29,95%.
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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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Analysis of vessel pulsation in retinal video sequences
Valentová, Vanessa ; Kolář, Radim (referee) ; Odstrčilík, Jan (advisor)
Glaucoma is the third most common cause of blindness in the world. There are several types of glaucomma, which makes early diagnosis of this illness harder. One posibble way for early diagnosis could be analysis of a retinal vessel pulsation. Data in this work were captured by experimental device called video ophtalmoscope. Several methods for optic disc segmentation were designed. From segmented parts, pulsation curve was recorded. Analysis of the pulsation curve was provided in two ways: Analysis of the whole pulsation curve and Averaged pulse analysis. Both methods were tested with diferent reference signals.
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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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Optic disc detection in video-sequences from experimental fundus camera
Daněk, Daniel ; Štohanzlová, Petra (referee) ; Odstrčilík, Jan (advisor)
This bachelor thesis deals with the analysis of images from experimental fundus camera, especially with structure of optic disc. The theoretical part describes major features of the human eye and principles of examination, especially examinations of fundus camera. This thesis discusses some methods of analysis and segmentation fundus images. The main work content is based on Hough transform and edge detection for optic disc localization. In the practical part of bachelor thesis we created Hough transform algorithm. Fundus images were tested with this algorithm method.
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Optic disc detection in retinal images
Jalůvková, Lenka ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
The bachelor thesis is focused on a detection of optic disc in the retinal images in order to propose and compare several existing methods. The detection is implemented as the Gaussian filter, matched filter and is done by vascular structure information. The DIARETDB1 database is used for testing. The best results have been achieved using Gaussian filter and detection by vascular structure information with success rate 81%. The description and comparison of all the algorithms can be found in this thesis.
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Application for Recognition of Human Eye Retina
Drozd, Radek ; Hájek, Josef (referee) ; Drahanský, Martin (advisor)
The blood vessels layout in a human eye retina is unique for every person in the world, so it is one of important biometric characteristics. Processing of colour retina image may be a part of an intended biometric system. There is an algorithm for automatic blood vessels detection, optic disc and macula localisation, finding of bifurcation points and saving those as a biometric template presented in this bachelor's thesis. C++ programming language and OpenCV library were used for implementation. The application was tested on a set of colour retina images, taken by fundus camera. The final application is supposed to run on a digital signal processor, developed by Texas Instruments. The thesis gives the introduction into biometrics, signal processing and human eye anatomy.
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Extracting of the optic disc in optical coherence tomography images
Šeda, Jan ; Harabiš, Vratislav (referee) ; Kolář, Radim (advisor)
The main target of this work is a design of the program for border localization of the optic disc in OCT data. Part of this program is also localization of the „optic cup“ and calculation of several values that characterize optic disc. The work is also dealing with a description of the optical coherence tomography principle which is used in ophthalmology. One chapter describes some published methods of optic cup localization. Success of the program and its comparison with OCT Zeiss Stratus 3000 is evaluated at the end of the work.
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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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