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Optical measurement of edema of limb
Šeptun, Roman ; Chmelík, Jiří (referee) ; Harabiš, Vratislav (advisor)
This thesis deals with methods of edema measuring. In my work, I designed hardware and software solutions for a device reconstructing surface of the limb part. Purpose of my work is evaluating discussing possibilities of this device. For making 3D reconstruction of scene from 2D images I made reconstruction program. For acquisition of images a device controlled by Arduino platform was constructed, the whole device is realized in program language Matlab. In the end of the thesis is described, how to improve the device for using in real conditions.
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Image data shape analysis
Kylián, Jakub ; Harabiš, Vratislav (referee) ; Chmelík, Jiří (advisor)
Bachelor thesis is focused on shape analysis of image data. This thesis clarifies usage of methods, techniques and procedures that lead to such analysis. The content of this thesis is divided into three chapters – theory, analysis solution and conclusion. In the chapter theory, methods and general theory of the topic are introduced. The rule is, that every method used in subsequent sections is explained in detail, but this doesn't necessarily mean that it applies in reverse. Next chapter, following up the theory section is analysis solution. In this section, a problem is presented. This problem is then, with knowledge presented in chapter theory solved. The solution consists of many processes and preparations that are also explained in detail in this chapter.
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Optical measurement of edema of limb
Šeptun, Roman ; Chmelík, Jiří (referee) ; Harabiš, Vratislav (advisor)
This thesis deals with methods of edema measuring. In my work, I designed hardware and software solutions for a device reconstructing surface of the limb part. Purpose of my work is evaluating a discussing possibilities of this device. For making 3D reconstruction of scene from 2D images I chose reconstruction method Structure from motion. For acquisition of 2D images a device controlled by Arduino platform was constructed, the whole device is realized in program language Matlab. In the end of the thesis is described, how to improve the device for using in real conditions.
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Automatic classification of Petri dish colony images
Herodes, Jakub ; Odstrčilík, Jan (referee) ; Chmelík, Jiří (advisor)
The thesis describe issue of segmentation and classification of Petri dishes colored images. There is proposed a segmentation method that extracts positions of cells from the image. Another techniques focues on classification to groups according to the parameters obtained from images. Reliability of each optimalized algorithm is tested on database containing 250 colored images received from company BioVendor Instruents a.s.
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Pupil and iris center detection
Prosser, Jan ; Chmelík, Jiří (referee) ; Kolář, Radim (advisor)
This thesis is aimed at image processing to obtain informations about the center of pupil and iris,the pupillar and limbic boundary from grayscale images of the eye. An introduction describes general research in topic of pupil, iris and changes in size of pupil. There are mentioned articles dealing with the detection of the center of pupil and iris. These articles were used as an inspiration for proposal of detection methods used in this work. The introduction ends with description of designed approaches of detection of parameters of pupil and iris in images of CASIA-Iris-Interval database. The second, practical part of this work, is dedicated to description of acquisition system, which was compiled to obtain proper images of eye. Individual analysis of methods used to obtain parameters of pupil and iris follows after that. There are two methods of detection of center of pupil and pupillar boundary, one method determines center of iris and limbic boundary. Last method detects centers and boundaries of pupil and iris at one time. The end of this work is dedicated to analysis of results of designed methods. Analysis includes score of successfulness of detection, statistical analysis, discussion of changes in pupillary diameter depending on the light conditions and changes in position of center of pupil during constriction and dilatation of pupil.
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Pre-registration of CT pulmonary volumetric image data
Šiška, Branislav ; Walek, Petr (referee) ; Chmelík, Jiří (advisor)
This bachelor thesis is dealing with pre-registration of CT pulmonary volumetric image data. Pre-registration is solved by phase correlation method, which decomposes 3D images into 2D slices arranged in a row. It further describes the geometric transformations, interpolation, calculations of similarity criteria, optimization of registration of images and the image registration process itself. The pre-registration software runs in MATLAB^®, which works with 3D images of real CT image data with an emphasis on process speed.
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Noise reduction for low dose CT data
Holub, Zbyněk ; Odstrčilík, Jan (referee) ; Chmelík, Jiří (advisor)
The aim of this work is comparing of methods which are used for filtration of low dose CT images. This filtration is realized due to suppress of noise in final image and better visble of details. This work contains design and realization of selected filtration methods. Wiener´s correction coefficient and filtration with usage of WAVELET TRANSFORM are introduced in detail view. These methods are created in Matlab®; with the option to set para-meters of filteres. The filters are tested on 3D CT lungs image data. In the end of this work is a ranking of filter‘s quality and choosen of the most optimal approach.
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Segmentation of hippocampus in MRI data
Kodym, Oldřich ; Chmelík, Jiří (referee) ; Walek, Petr (advisor)
The thesis deals with application of graph-based methods in segmentation of low contrast image data, specifically hippocampus segmentation from magnetic resonance data. Firstly, basics and terminology of graph theory is introduced. Next, minimum graph cut method is explained along with algorithms capable of finding this cut. After that comes the description of its implementation for 2D and 3D image data segmentation. Method was tested on sample data and then implemented as a 3D Slicer software module. Here the method was tested on the hipocampus data of healthy patients as well as patients suffering from Alzheimer’s disease. Most common problems occuring during the segmentation were forshadowed as well as possible ways to solve them.
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Negative Photoresist Exposition with LED Application
Chmelík, Jiří ; Novák, Vítězslav (referee) ; Starý, Jiří (advisor)
The purpose of this work is conception and realization of exposition unit for negative photoresist with ultra violet light emitting diodes application. For conception of this unit is necessary understanding of physical laws about light and radiation. The major part of this work is dealing with conception and construction of LED matrix array. Second step is testing of this array. Next parts are aimed to conception or choose of power source, vacuum frame, timer controller, control unit and other support systems. Final part is devoted to device description and service manual.
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Affine registration of native and contrast-enhanced CT brain images
Chmelík, Jiří ; Mézl, Martin (referee) ; Walek, Petr (advisor)
This thesis is dealing with problem of brain images registration aquired by computed tomography. At the beginning is explanation of image geometrical transformation methods, notably affine transformation. Following part of text the is dealing with interpolation methods issues, calculation of similarity criterion and subsequent optimalization. All issues are handled especially for three-dimensional data. Second part of this work is practical sample of MatLab® program enviroment for registration of acquired frames by affine tranformation. In this program is algorithm for removement of stair-step artefact, under head pillow and patient’s desk, too. As an optimalization algorithm is used control random search (CRS) methode. Due to medical images type, which are distributed in DICOM format, is included process for their load and save at this work.
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