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Application for Practicing Rapid Reading Techniques
Sokol, Miroslav ; Seeman, Michal (referee) ; Herout, Adam (advisor)
Main goal of this bachelor´s thesis is creation user interface for correct fast reading practise. Four moduls train various abilities of human eyes in regard to average and advanced reader. Application was created as WinForm and thematically is connected with human sight, which hide incredible potential for most of people. The bachelor´s thesis analyse features of eye, individual types of exercises, implementation, concrete developement of user interface and users reactions from their own testing.
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Retinal Blood Vessel Segmentation
Nemčeková, Barbora ; Drahanský, Martin (referee) ; Kavetskyi, Andrii (advisor)
The retina is an important part of the human eye. Incident light is processed here and moreover, it plays an essential role in diagnosing various diseases. Its early diagnostics can prevent serious consequences, such as blindness. The most common retinal diseases include diabetic retinopathy, as a consequence of diabetes, and age-related macular degeneration. Automatic retinal vessels segmentation facilitates and speeds up the work of an ophthalmologist. This work focuses on retinal blood vessels segmentation and its further classification into thin and thick vessels. The proposed algorithm is based on morphological operations, k-means clustering, and Frangi's algorithm. Evaluation of the proposed method was performed on two publicly available datasets - Drive and HRF. The results obtained represent 69,89 % for sensitivity, 91,55 % for specificity, and 88,63 % for accuracy. Division of the vessels shows, that on average 21,50 % vessels pixels belong to thick vessels and the rest 78,50 % belong to thin vessels.
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Detection of pathologies in retinal images
Mesíková, Klaudia ; Kolář, Radim (referee) ; Vičar, Tomáš (advisor)
The goal of this thesis is to design and implement software for the detection of diabetes mellitus symptoms from the image of the human eye retina. Diabetic retinopathy is the most common disease affecting the retina. Pathologies connected with this disease can lead to partial or complete blindness. For the detection of pathological symptoms is important to correctly detect some parts of the eye retina such as optic disc and blood vessels. These can cause a problem with the identification of disease. After removing the optic disc and blood vessels, the pathology object is being detected.
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Identification of human iris
Horníček, Vladimír ; Maršálek, Roman (referee) ; Frýza, Tomáš (advisor)
This bachelor‘s thesis deals with eye iris human identification. The main advantage of eye iris human identification is individuality and accuracy of human eye iris. In the beginnig of this thesis there are described the main biometrics terms. The second part of this work engages theoretical basics of identification system activity and functionality. By using theoretical datas, there is designed and created an aplication in the Matlab simulation program. This aplication is able to creates and then compares the iris human. In the end of this thesis there are a results analysis.
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Illness Detection in Eye Retina Image
Aubrecht, Tomáš ; Drahanský, Martin (referee) ; Semerád, Lukáš (advisor)
Age-related macular degeneration is one of the most common retinal diseases of the human eye that leads at different rates to blindness. This disease occurs in two forms. While the wet can slow down its progression, for dry form there is no available treatment method so far, so prevention is the most important. For this reason, the aim of this work is to design and implement software that allows automatic detection of the symptoms of this disease from retinal images. The symptom detection algorithm is based on adaptive thresholding which obtains suspicious areas that are subsequently categorized. 407 retinal images were used for the evaluation and the software was highly successful. When used in conjunction with an optical retinal scanner, it helps ophthalmologists, for example, to diagnose more quickly.
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Automatic Detection of Eye Retinal Pathologies
Tlustoš, Vít ; Beran, Vítězslav (referee) ; Drahanský, Martin (advisor)
Cílem této práce je navrhnout a vyvinout systém, který automaticky odhalí vybrané patologie nacházející se na snímcích sítnice lidského oka. Sítnice jako jediný orgán v těle obsahuje světlocitlivé buňky potřebné k vidění. Proto, aby byla léčba onemocnění sítnice úspěšná je klíčové jeho včasné zachycení a přesné určení rozsahu. Navržený systém automaticky k dodanému snímku vygeneruje segmentační masky reprezentující výskyt jednotlivých patologií. Výsledek je poté prezentován uživateli. O samotné vyhodnocení se stará konvoluční neuronová síť jejímž základem je architektura U-Net. Síť byla natrénovaná na datasetu Indian Diabetic Retinopathy Image Dataset zkráceně IDRiD, který obsahuje 81 snímků sítnice a k nim příslušících anotací. Úspěšnost navrhovaného systému byla stanovena pomocí AUC-PR skóre (plocha pod precision-recall křivkou). Segmentace tvrdých exsudátů, měkkých exsudátů, hemoragií a mikroaneuryzmat dosáhla hodnot AUC-PR 74%, 50%, 45% a 33%, v daném pořadí. Tato práce přináší inovativní architekturu, která má v případě dalšího rozvoje potenciál být využita oftalmology pro diagnostiku a stanovení rozsahu onemocnění sítnice oka.
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Segmentation of choroid blood vessels in 3D images from optical coherence tomography
Maňkoš, Richard ; Kolář, Radim (referee) ; Štohanzlová, Petra (advisor)
This project deals with segmentation of choroid blood vessels in 3D images from optical coherence tomography. The first part is dedicated to theoretical description of the human eye. The second part describes basic information about the optical coherence tomography. In the third part two techniques, which are used on the blood vessels segmentation are described. The last part is practical and deals with an image processing in software OCTSEG and with own created algorithm for blood vessel segmentation.
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Software for retinal image processing
Magula, Filip ; Fiala, Jiří (referee) ; Kolář, Radim (advisor)
This thesis deals with practical solutions of software for retinal images digital processing. The theoretic part describes human eye and retinal anatomy and also glaucoma disease. It is also focused on description of method for retinal nerve fiber layer enhancement and analysis. These enhancement are then used for designing of automated image processing. One chapter is devoted to detection and analysis of retinal nerve fibers layer. The practical part includes the user manual for application Image Blockz, which was established within this thesis. Further practical part contains the programmer's manual describing the basic structure of the program and its possible extensions.
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Analysis of the Usual Time of a Driver Observing Specific Objects
Fujačková, Hedvika ; Semela, Marek (referee) ; Bucsuházy, Kateřina (advisor)
This diploma thesis focuses on drivers of motor vehicles and the usual time they spend by specific objects. The theoretical part of the thesis brings an overview of literature on human perception. The eye-tracker is defined here as the instrument used for scanning the movements of the drivers eyes, here are also named its types and its applications in various fields of life. Finally, this part deals with the advertisements placed alongside roads acting as distractive elements. The experimental part builds upon the collected video recordings and offers an analysis of drivers’ observations of outdoor advertisements that attract their attention, mainly billboards.
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Reconstruction of Extracted Bloodstream in Images of Retinas
Kozel, Vojtěch ; Drahanský, Martin (referee) ; Semerád, Lukáš (advisor)
Retinal bloodstream plays a significant role in many specializations. In medicine, retinal images are used for automatic disease diagnosis. The blood vessel tree is unique for each individual, and as such this feature is often used in biometric systems for person-recognition. Healthy individuals possess consistent retinas throughout their life, however, there are many reasons why retinal changes may occur. The most common reason for physical changes is disease. In such cases problems arise in automated processing of retina images. These problems may also lie with retinal scans errors or blood vessel extraction algorithm error. This thesis describes reasons why segmented blood vessels are interrupted. Main goal of this thesis is to create a program which can automatically locate interrupted vessel segments and reconstruct them. The program is implemented in Java with OpenCV library.
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