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Složení snímku prstu s viditelným krevním řečištěm.
Pekárek, Jakub ; Semerád, Lukáš (referee) ; Rydlo, Štěpán (advisor)
This thesis describes a method for creating a composite image with a visible bloodstream. The bloodstream is detected by the Maximum Curvature algorithm. After that it was experimented with detecting and matching keypoints via algorithms SIFT and ORB. However, the resulting matches from these algoritms were not good enough, therefore the keypoints have to be manually assigned. From these keypoints, an estimated tranformation matrix was created. This matrix was then used for connecting two images. A cycle of assigning keypoints and connecting images is repeated even for newly created images. The final composite image with a visible bloodstream is created after connecting last two images. This composite image can be further used for verification or identification people.
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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.
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Bifurcation Localization in Retina Images
Pres, Martin ; Drahanský, Martin (referee) ; Semerád, Lukáš (advisor)
From biometrical point of view, main features of retina are fovea, optic nerve and blood vessel tree. Blood vessel tree is unique for each person and this biological feature is used in biometric systems for person-recognition by retinal images. This document describes methods for optic disc and fovea localization, method for vessel tree segmentation, which is based on well-known \emph{Matched filters} method and also describes method for localization of blood vessel bifurcations. Main goal of this thesis is creation of program which can automatically preprocess input image, segment blood vessels and localize vessel bifircations. The program is implemented in Java with OpenCV library.
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Finger vein biometrics
Bělehrádek, Stanislav ; Sekora, Jiří (referee) ; Mézl, Martin (advisor)
This thesis presents basic concepts in the field of biometrics, with a focus on optical methods of finger vein biometrics. The paper also contains additional information including physics and anatomy terms, which are important for understanding presented problems. Part of the thesis is draft of the device used for finger vein biometry and proposal of effective image preprocessing process for biometric purpose. Main part of the thesis contains creation and testing of such device. User interface is created in MATLAB and allows identification and verification of people with record in database. Biometric system is tested on group of 16 individuals. Achieved results are discussed and compared with results of similar devices.
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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.
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Blood Vessels Detection in the Fingers Area for Liveness Detection
Šulavík, Jan ; Goldmann, Tomáš (referee) ; Rydlo, Štěpán (advisor)
Biometrics as a part of computer technology are recently rising in popularity and various biometric methods are becoming a part of everyday human life. This work in the first place informs the reader on the basics of biometrics in computer technology and further continues to discuss the use of veins in this area as veins are for their uniqueness considered as an ideal human physiological trait for use in biometrics. It is described in what manner is this biometric characteristic being captured. Further more the work describes some image processing methods for extracting biometric data from the input images that are later used. These methods were also implemented and the details of this implementation are to be found later in the text. In the last part the suggested methods of blood vessel detection are tested and the results evaluated.
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Nursing Care of Infusion Lines
Šulcová, Martina ; Hošťálková, Monika (advisor) ; Hocková, Jana (referee)
The bachelor thesis deals with issues of handling an infusion line. The thesis describes the infusion line, its components and an extra chapter is devoted needleless connectors. It also includes procedures of using infusion lines and needleless connectors which are recommended not only by The International Association of Infusion Nurses (INS), but also by The Centers for Disease Control and Prevention (CDC). The work also describes complications of nosocomial infections that are related to handling the infusion line. In the practical part, I have made the results of the survey, which was aimed at the servicing infusion lines. The questionnaire was completed by nurses and midwives at Podřipský hospital and the health centre in Roudnice nad Labem. From the obtained data, I have found out that 81.82% of respondents use when working with the infusion line needleless connectors. On the contrary bacterial filters in the catheter sepsis prevention are not used at all. Next I have found out that 98.18% of respondents carry out the hygienic disinfection of hands before using the infusion line.
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Bifurcation Localization in Retina Images
Pres, Martin ; Drahanský, Martin (referee) ; Semerád, Lukáš (advisor)
From biometrical point of view, main features of retina are fovea, optic nerve and blood vessel tree. Blood vessel tree is unique for each person and this biological feature is used in biometric systems for person-recognition by retinal images. This document describes methods for optic disc and fovea localization, method for vessel tree segmentation, which is based on well-known \emph{Matched filters} method and also describes method for localization of blood vessel bifurcations. Main goal of this thesis is creation of program which can automatically preprocess input image, segment blood vessels and localize vessel bifircations. The program is implemented in Java with OpenCV library.
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