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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.
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IR thermometer
Šolc, Radek ; Chmelař, Milan (referee) ; Rozman, Jiří (advisor)
This bachelor’s thesis deals with the issue of temperature measuring with the use of contactless thermometer. The thesis examines the physical findings, detectors, methods for contactless temperature measurement. Practical part consists of system design. Suitable detector, signal processing system and evaluation of temperature were chosen. According to the system design were created circuit design solution and printed circuits boards’ design of IR thermometer.
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IR thermometer
Šolc, Radek ; Chmelař, Milan (referee) ; Rozman, Jiří (advisor)
This bachelor’s thesis deals with the issue of temperature measuring with the use of contactless thermometer. The thesis examines the physical findings, detectors, methods for contactless temperature measurement. Practical part consists of system design. Suitable detector, signal processing system and evaluation of temperature were chosen. According to the system design were created circuit design solution and printed circuits boards’ design of IR thermometer.
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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.
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