Ophthalmology is a branch of medicine that deals with the anatomy, physiology and diseases of the eyeball and orbit. An ophthalmic device for the acquirement and recognition of a human eye characteristics was created by researchers from Faculty of Information Technology. This device can be used either for biometric purposes or for medical purposes as a support diagnostic device. To achieve proper functionality, device must be able to adjust platform position in order to align optic camera with patient's eye. The main focus of this thesis is to design and implement an algorithm for eye centre localisation based on images of the patient's face. The first part of this thesis describes general methods for eye localisation and proposed solution. To achieve requested accuracy, combination of multiple methods is used with adjusted parameters based on platform's features. The second part describes implementation of proposed solution as well as platform control. Multiple databases were used for training and testing of the algorithm. The third part summarises performed experiments. The proposed algorithm was implemented in the C++ language, using OpenCV library. Accuracy and speed of proposed algorithm are suitable for developed platform. In the end, the results are discussed and further improvements are proposed.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:385931 |
| Date | January 2018 |
| Creators | Magdolen, Patrik |
| Contributors | Semerád, Lukáš, Drahanský, Martin |
| Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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