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Tracking of Military Objects in a Videosignal
Hamada, Ondřej ; Váňa, Jan (referee) ; Orság, Filip (advisor)
First part of this thesis briefly describes the main problems of object tracking in video and methods to deal with them. Main attention is paid towards usage of these methods for target tracking in videos taken by both normal and thermal camera. It propose solution to this problem based on the kernel-based method which uses mean-shift algorhitm and on the template matching. Both tracking methods results are supervised and corrected by Kalman filter. Proposed solution is implemented using C++ with OpenCV library.
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Image based road surface segmentation with lane detection
Turoň, Rudolf ; Honec, Peter (referee) ; Zemčík, Tomáš (advisor)
This bachelor thesis deals with road semantic segmentation with lane lines detection. The aim of the thesis is to conduct a survey of methods used for general segmentation and lane lines detection, collect a representative dataset for testing, design a data processing system including implementation for semantic segmentation and detection of lanes in image, video and live camera input. In preprocessing phase images are filtered using morphological transformations. The segmentation is performed using the watershed method with labels, and an adaptive algorithm is designed to find the labels. The lanes are searched for in the thresholded projectively transformed image using the sliding window technique. As a result, a segmentation accuracy of 88.3% is achieved based on the IoU metric. The thesis concludes with a discussion of the obtained results and summarizes the possibilities for further improvements of the system.
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Hand Gesture Recognition
Adámek, Jakub ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This thesis is focused on human hand gesture recognition. The main part of the work deals with image segmentation of videosequences for further gesture recognition. For the image segmentation, techniques such as face detection followed by skin detection in combination with background subtraction method are used. In order to eliminate noise, methods of mathematic morphology are applied. The work focuses only on dynamic hand gesture recognition. The proposed gesture recognition system is inspirited by hidden Markov model method. The last chapter of the thesis discusses the accuracy of the gesture recognition.
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Blood vessel segmentation in fundus images using mathematical morphology
Stonawski, Stanislav ; Jan, Jiří (referee) ; Odstrčilík, Jan (advisor)
Segmentation of retinal blood vessel is an important step in the fundus image analysis. The resulting image can be used to diagnose ophthalmic or cardiovascular diseases. The aim of this thesis is to search for possibilities of high resolution eye fundus image processing while using mathematical morphology methods. This should lead to the creation of an algorithm capable of blood vessel segmentation. The thesis provides information on fundus camera, image, blood vessel properties and mathematical morphology filtering methods. The created algorithms and the proposed method based on them are presented, including their performance analysis based on the HRF database processing.
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Measurement of thickness of skin and subcutaneous tissue in B-mode ultrasound image
Moldříková, Zuzana ; Štohanzlová, Petra (referee) ; Šrámek, Jaromír (advisor)
In the first part this bachelor thesis deals with theoretical analysis of terms, which are needed for understanding and algorithm proposition for skin thickness and subcutaneous tissue direct measurement. Second part of this thesis deals with implementation of algorithm. In six chapters there are described terms like skin and subcutaneous tissue, adiposity, Body Composition Analysis, ultrasound, B-mode and basics of image processing, which are going to be needed for processing of ultrasound image and algorithm creation. Chapter seven includes description of algorithm implementation and description of its structure. There is also analyzed clinical verification of functionality on phantom and some volunteers. The chapter is concluded with evaluation and discussion of gained results.
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Tracking of Military Objects in a Videosignal
Hamada, Ondřej ; Váňa, Jan (referee) ; Orság, Filip (advisor)
First part of this thesis briefly describes the main problems of object tracking in video and methods to deal with them. Main attention is paid towards usage of these methods for target tracking in videos taken by both normal and thermal camera. It propose solution to this problem based on the kernel-based method which uses mean-shift algorhitm and on the template matching. Both tracking methods results are supervised and corrected by Kalman filter. Proposed solution is implemented using C++ with OpenCV library.
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Game with Hand Gesture Control
Kartous, Petr ; Zemčík, Pavel (referee) ; Hradiš, Michal (advisor)
This work is focused on controlling the game by using hand gestures. The main part of the work is image segmentation and detection of the hand in picture. For the segmentation of the image are used techniques of skin detection and the background subtraction with adaptive model of the background. Also the methods of mathematical morphology to eliminate the noise from the image and the appropriate methods for transferring images of gestures to characteristic gestures in numerical form are mentioned. In the context of the work was a simple car race game created which is controlled by hand gestures. At the end there was a testing carried out to identify the advantages and disadvantages of used methods of image segmentation and to detect the used hand gestures. There were also several sets of gestures tested by which the game is controlled. The two sets which came out of the test most successfully are applicable depending on the quality of the hand gesture recognition.
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Line Detection with Different Size
Váňa, Lukáš ; Hradiš, Michal (referee) ; Beran, Vítězslav (advisor)
This Bachelor Theses deals with question of the location of the set thicknesses of lines in the picture. It summarizes theoretical basis and procedures for the elaboration of the incoming signal and the Theory of the edge detection. It mentioned current known methods for lines detection in the picture. By the assist of these methods, extended of another known procedures, this theses suggested algorithm, able to detect line of the set thickness in the picture. It describes also suggestion of the realization of the application, which demonstrates utility of the created algorithm. The application is the programming part of this Theses.
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Retinal images in biometry
Bujnošková, Eva ; Drahanský, Martin (referee) ; Kolář, Radim (advisor)
Retinal recognition is very efficient and almost non-fallible tool for persons' identification, thanks its advantages it can be used in cases when high security is needed. Process of the identification comes from successful vessel extraction and the transfer to binary image. After that this is used to look for the vessel bifurcations with help of skeletonization which is one of the operations of mathematical morphology. The parameter of the detection of bifurcations isn't enough therefore there are other information completed - thickness and the direction of vessel in the surroundings of known crossing. The best correlation between the parameters and the images in database is searched, than alignment is made, and with the certain probability the closest image is chosen to be proclaimed as the match. The solution uses also the second method to image processing - the method using image translation and evaluation of minimal distances between found bifurcations.
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Detection and Tracking of Small Moving Objects
Filip, Jan ; Zuzaňák, Jiří (referee) ; Hradiš, Michal (advisor)
Thesis deals with the detection and tracking of small moving objects from static images. This work shows a general overview of methods and approaches to detection and tracking of objects. There are also described some other approaches to the whole solution. It also included basic definitions, such a noise, convolution and mathematical morphology. The work described Bayesian filtering and Kalman filter. It described the theory of Wavelets, wavelets filters and transformations. The work deals with different ways of the blob`s detection. It is here the design and implementation of applications, which is based on the wavelets filters and Kalman filter. It`s implemented several methods of background subtraction, which are compared by testing. Testing and application are designed to detect vehicles, which are moving faraway (at least 200 m away).
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