|
|
Ultrasound image registration based on active contours
Hesko, Branislav ; Jakubíček, Roman (referee) ; Harabiš, Vratislav (advisor)
This diploma thesis aims to implement an active contour method for ultrasound image segmentation. Properties of ultrasound images, basic segmentation approaches and a~principle of choosen active contour methods are described within theoretical part. Two different groups of active contour methods exists, methods with use of gradient and without use of gradient as image feature. For comparision, one method of each group is implemented in practical part and subsequently, segmentation efficiency and properties of methods are compared in evaluation part.
|
|
|
Segmentation of cardiac tissue fibrosis in MRI data
Sokol, Norbert ; Mézl, Martin (referee) ; Kolář, Radim (advisor)
Late gadolinium enhancement cardiovascular magnetic resonance imaging can be used to visualize pre-ablation fibrosis or post-ablation myocardial scar. This can significantly helps physicians with diagnosis patients who suffer from myocardial fibrosis to determine region of fibrosis and for post-operative validation of intervention after radio-frequency catheter ablation. In this thesis, i introduce an algorithm for successful distinguish of fibrosis on datasets of patients with myocardial fibrosis, scanned at Faculty hospital at St. Anne’s University Hospital.
|
|
|
Rotational 3D scanner
Švehla, Ľubomír ; Polák, Ladislav (referee) ; Kaller, Ondřej (advisor)
The point of this project is to design and construct a rotational 3D scanner. It is both about the hardware and software part. Low construction price is important factor in the hardware part and therefore the hardware part is really simple. Software part is solved by the FFmpeg tool and programming environment MATLAB. From the selected number of frames from the synchronized video the irradiated part is segmented. Consequently by compositing these traces a 3D model is gained. To gain a better result, the program uses two cameras. Program can be fully controlled from GUI.
|
|
| |
|
|
Detection of Boxes in Image
Soroka, Matej ; Zlámal, Adam (referee) ; Herout, Adam (advisor)
The aim of this work is to experiment and evaluate algorithms with different approaches to computer vision in order to automatically detect boxes-blocks in the image. To this end, neural network-based approaches were used in the solution. Experiments were performed with classification using our own data set, classification using our own convolutional neural network, detection using a window, YOLO detector and in the final iteration the use of U-net network for detection of boxes in the image.
|
|
|
Segmentation of the cord canal and intervertebral discs in MRI data
Koban, Martin ; Odstrčilík, Jan (referee) ; Jakubíček, Roman (advisor)
The concern of this thesis is development of the method for the spinal canal and intervertebral discs segmentation in volume MRI data. The primary aim is to achieve the highest possible level of automation and accuracy allowing for reliable quantitative evaluation of the results. The algorithm is based on the random walk model in combination with a specific active contour method formulated through level set concept. The proposed approach is tested using a database of three-dimensional T2-weighted MR images, which also contains referential manual segmentation of intervertebral discs.
|
|
|
Segmentation of cardiac tissue fibrosis in MRI data
Sokol, Norbert ; Mézl, Martin (referee) ; Kolář, Radim (advisor)
Late gadolinium enhancement cardiovascular magnetic resonance imaging can be used to visualize pre-ablation fibrosis or post-ablation myocardial scar. This can significantly helps patients with myocardial fibrosis to determine region of fibrosis and for post-operative validation of intervention after radio-frequency catheter ablation. In this thesis, i introduce an algorithm for successful distinguish of fibrosis on datasets of patients with myocardial fibrosis, scanned at Faculty hospital at St. Anne’s University Hospital.
|
|
|
Automatic classification of pronunciation of the letter „R“
Hrušovský, Enrik ; Vičar, Tomáš (referee) ; Harabiš, Vratislav (advisor)
This diploma thesis deals with automatic clasification of vowel R. Purpose of this thesis is to made program for detection of pronounciation of speech defects at vowel R in children. In thesis are processed parts as speech creation, speech therapy, dyslalia and subsequently speech signal processing and analysis methods. In the last part is designed software for automatic detection of pronounciation of vowel R. For recognition of pronounciation is used algorithm MFCC for extracting features. This features are subsequently classified by neural network to the group of correct or incorrect pronounciation and is evaluated classification success.
|
|
|
Object Detection in the Laser Scans Using Convolutional Neural Networks
Zelenák, Michal ; Kodym, Oldřich (referee) ; Veľas, Martin (advisor)
This work is focused on road segmentation in laser scans, using a convolutional neural network. To achieve this goal, which will find application in the field of road maintenance, convolutional neural networks have been used for their flexibility and speed. The work brings implementation and modifications of the existing method, which solves the problem by using a fully connected convolutional neural network. Used modifications include, for example using of various parameters for the loss function, the use of a different number of classes in the network model and dataset. The effect of the modification was experimentally verified and the accuracy of 96.12%, and the value for F-measure 95.02% were achieved.
|
|
|
Machine Understanding of Maps and Optimal Trajectory Calculation
Kršák, Pavol ; Burian, František (referee) ; Chromý, Adam (advisor)
The teasis deals with the creation of software tools, which use human element to extracts data necessary for navigation in the field of raster maps for orienteering. To achieve this goal, it is important to segment individual sections of the map according to symbols on the map. These symbols are illustrated on the map with one colour or combinations of colours, which create patterns. Because of identification of individual symbols, the work deals with segmentation according to colours and pattern matching. To navigate in the field is important information on height differences on the ground , for this reason the work discusses the position of contour identification and determination of their heights. Combining terrain data with data about height differences will create a 3D color models in XNA. To navigate in such a terrain that is used A* algorithm , in which the test several heuristic model defined distance. The A* algorithm then provides the optimum route according to specified criteria .The resulting application conveys the necessary tools to analyze raster maps orienteering , these tools are the manual and the automatic nature. The work includes detailed operating instructions of developed application.
|
guest ::
