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The Evolution and Functional Role of the Colour of Iris in Humans, Its Biological Role, and Cross-Cultural Perception
Kočnar, Tomáš ; Kleisner, Karel (advisor) ; Windhager, Sonja (referee) ; Wacewicz, Slawomir (referee)
The human eye is a conspicuous and unique component of facial appearance. From other mammalian eyes it is set apart mainly by its unusual shape, visible white sclera, and a wide range of iris colours, which is something unique within a single species. Whether alone or in the context of the face as a whole, eye colour is an underexplored area within research into the perception of various personality traits. In this thesis, the author first reviews the physiological factors connected with eye colour and reported correlations between eye colour and different psychological and behavioural conditions. This is followed by an investigation of a possible relationship between eye colour and perceived dominance and attractiveness. The first and second study examines whether and to what extent eye colour is associated with facial morphology responsible for perceived dominance. The results are ambiguous. A cross-cultural comparison in the third study revealed that faces with blue eyes are judged as more attractive only in populations where individuals with darker eyes predominate. It is thus discussed whether this population-specific pattern is the consequence of a negative frequency-dependent selection that may have contributed to the present-day eye colour diversity. In short, the aim of this thesis was to...
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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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Generation of Synthetic Retinal Images with High Resolution
Aubrecht, Tomáš ; Heidari, Mona (referee) ; Drahanský, Martin (advisor)
K pořízení snímků sítnice, která představuje nejdůležitější část lidského oka, je potřeba speciálního vybavení, kterým je fundus kamera. Z tohoto důvodu je cílem této práce navrhnout a implementovat systém, který bude schopný generovat takovéto snímky bez použítí této kamery. Navržený systém využívá mapování vstupního černobílého snímku krevního řečiště sítnice na barevný výstupní snímek celé sítnice. Systém se skládá ze dvou neuronových sítí: generátoru, který generuje snímky sítnic, a diskriminátoru, který klasifikuje dané snímky jako reálné či syntetické. Tento systém byl natrénován na 141 snímcích z veřejně dostupných databází. Následně byla vytvořena nová databáze obsahující více než 2,800 snímků zdravých sítnic v rozlišení 1024x1024. Tato databáze může být použita jako učební pomůcka pro oční lékaře nebo může poskytovat základ pro vývoj různých aplikací pracujících se sítnicemi.
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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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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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Detection and Recognition of ARMD Disease Impacts to the Human Eye Retina
Stančíková, Ivana ; Semerád, Lukáš (referee) ; Drahanský, Martin (advisor)
This thesis aims to create a software able to detect symptoms of age-related macular degeneration in images of human eye retina. This condition is considered one of the leading causes of vision loss in older adults. Lesions of the macular area called drusen are the first and also the most distinctive sign of developing ARMD. The approach presented in this thesis utilizes methods of image processing and computer vision to recognize retinal structures, in particular the optical disk and blood vessels, and distinguish between these structures and actual symptoms of the disease. The evaluation of the program's success rate was performed on 692 images originating from four databases. The resulting solution has the potential to assist medical professionals with earlier diagnosis of the disease and thus contribute to prevention of severe vision loss.
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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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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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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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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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