Master's Theses

Year: Supervisor: 
Student:  Title: 
Keywords: 

Classification and Recognition of Pathologic Foundings in Eye Retina Images

Ac. year:2015/2016
Student:Macek Ján
Supervisor:Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D.
Reviewer:Orság Filip, Ing., Ph.D.
Department:Department of Intelligent Systems FIT BUT
Branch of study:Intelligent Systems (Master)
Language:czech
Status:defended - final grade A
Date:2016-06-21
Files:
Keywords
human retina, age-related macular degeneration, diabetic retinopathy, pathological foundings, fundus camera, image processing, OpenCV library
Abstract
Diabetic retinopathy and age-related macular degeneration are two of the most common retinal diseases in these days, which can lead to partial or full loss of sight. Due to it, it is necessary to create new approaches enabling to detect these diseases and inform the patient about his condition in advance. The main objective of this work is to design and to implement an algorithm for retinal diseases classification based on images of the patient's retina of previously mentioned diseases. In the first part of this work, there is described in detail each stage of each disease and its the most frequent symptoms. In this thesis, there is also a chapter about fundus camera, which is a tool for image creation of human eye retina. In the second part of this thesis, there is proposed an approach for classification of diabetic retinopathy and age-related macular degeneration. There is also a chapter about algorithmic methods which can be used for image processing and object detection in image. The last part of this thesis contains the test results and their evaluation. Assessment of success of proposed and implemented methods is also part of this chapter.
ISO 690 Citation
MACEK, Ján. Classification and Recognition of Pathologic Foundings in Eye Retina Images. Brno, 2016. Available from: http://www.fit.vutbr.cz/study/DP/DP.php?id=18409. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2016-06-21. Supervisor Drahanský Martin.
BibTeX
@MASTERSTHESIS{
    author = {J{\'{a}}n Macek},
    title = {Classification and Recognition of Pathologic
	Foundings in Eye Retina Images},
    school = {Brno University of Technology,
		Faculty of Information Technology},
    year = {2016},
    location = {Brno, CZ},
    language = {czech},
    url = {http://www.fit.vutbr.cz/study/DP/DP.php?id=18409}
}

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