|
|
Extraction of arteries and veins from fundus image of human retina
Baláš, Ondřej ; Říha, Kamil (referee) ; Minář, Jiří (advisor)
This bachelor’s thesis deals with methods of image segmentation and their use in the extraction of blood vessels of the eye from so called fundus images. For understanding the issue, various methods of segmentation, anatomical view of the eye, image processing and implementation are described on following pages. This thesis also contains a proposal of an application, programmed in JAVA, supported by OpenCV library for image processing. Final images from the application are compared to „golden standard“ images from public databases.
|
|
|
Analysis of Market Prices for Residential Properties in the Specific Locality
Petríková, Daša ; Špiroch, Michal (referee) ; Vítková, Eva (advisor)
This bachelor´s thesis analysis the market price of estate and the way of financing. For the first, it defines the basic terms from market of real estates, performs the division of this market based on various criteria and deals with real estate financing options. The practical part is summarized in three parts. The first part is an analysis of the real estate market in Ostrava, then the analysis of apartments in selected city districts for selected criteria related to the average price and in the last part, it proposes an example of way of financing real estate.
|
|
|
Retinal blood vessel segmentation in fundus images via statistical-based methods
Šolc, Radek ; Walek, Petr (referee) ; Odstrčilík, Jan (advisor)
This diploma thesis deals with segmentation of blood vessel from images acquired by fundus camera. The characteristic of fundus images and current methods of segmentation are described in theoretical part. The reach of the practical part is method using statistical model. The model using Student´s distribution for automatic segmentation is gradually drafted. Firstly EM- algorithm has been incorporated and model drafted on Markov random fields for improving robustness to noise after that. Contrast of thin blood vessel is improved in image preprocessing part by discrete wave transformation. The output image is used as mask for grayscale intensity decrease of thinnest blood-vessel and intensity increase of background. Whole model was programed in Matlab. The model was tested on whole HRF database. The quantitative evaluation of binary images were compared with golden standard images.
|
|
|
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.
|
|
|
Diseases diagnosing from the retina images for the digital image processing
Chmurová, Anna ; Jan, Jiří (referee) ; Taševský, Pavel (advisor)
This bachelor’s paper deals with the scanning of fundus using a fundus camera. It also contains the list of some retinal diseases which visibly appear on fundus. Moreover, every disease is illustrated with pictures showing the symptoms of the given disease. These pictures include separated RGB channel layers. Consequently, the pictures of fundus are filtrated by function created in MATLAB in order to make the symptoms as visible as possible.
|
|
|
Extraction of arteries and veins from fundus image of human retina.
Pinkava, Marek ; Říha, Kamil (referee) ; Minář, Jiří (advisor)
This thesis deals with processing of retinal fundus images. Vision is the most important human sense and its injury has very serious consequences for humans. Automatic processing of retinal images increases the efficiency of medical examination and accelerates diagnoses of deseases. Retina exhibits unique characteristics for each person and thus can also be used to identify people. In this task is briefly discussed the structure and properties of each parts of the eye, particularly the retina, and their possible diseases such as diabetic retinopathy, glaucoma and age related macular degeneration. Subsequently, the task describes the representation and characteristics of the digital image. Also is devoted to selected image segmentation methods namely thresholding, edge detection and segmentation techniques based on the matched filter. The outcome of this task is the application in which several segmentation methods are implemented for the blood vessels extraction. For each of these methods it is possible to set the parameters of the segmentation to ensure high quality blood vessels extraction in images of different quality.
|
|
|
Retinal Vessel Segmentation in Fundus Images
Andrla, Ondřej
Segmentation of retinal vessel system plays an important role in the analysis of retinal images. In this contribution, I have used the segmentation method based on morphological image analysis. The product of this method is a final binary representation of blood vessel tree. The outcome of my work is the computer program for automatic vessel segmentation. The method was tested by standardized images from VUT database.
|
|
|
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.
|
|
|
Extraction of arteries and veins from fundus image of human retina
Baláš, Ondřej ; Říha, Kamil (referee) ; Minář, Jiří (advisor)
This bachelor’s thesis deals with methods of image segmentation and their use in the extraction of blood vessels of the eye from so called fundus images. For understanding the issue, various methods of segmentation, anatomical view of the eye, image processing and implementation are described on following pages. This thesis also contains a proposal of an application, programmed in JAVA, supported by OpenCV library for image processing. Final images from the application are compared to „golden standard“ images from public databases.
|
|
|
Diseases diagnosing from the retina images for the digital image processing
Chmurová, Anna ; Jan, Jiří (referee) ; Taševský, Pavel (advisor)
This bachelor’s paper deals with the scanning of fundus using a fundus camera. It also contains the list of some retinal diseases which visibly appear on fundus. Moreover, every disease is illustrated with pictures showing the symptoms of the given disease. These pictures include separated RGB channel layers. Consequently, the pictures of fundus are filtrated by function created in MATLAB in order to make the symptoms as visible as possible.
|
guest ::
