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Automatic rotational alignment of head CT scans
Karmazinová, Inna ; Kolář, Radim (referee) ; Jakubíček, Roman (advisor)
The aim of this thesis is automatic alignment of head CT scan. Currently, the alignment is performed manually by an expert, however this process is time consuming. Therefore, methods for automatization of this process are being developed. Two algorithms for alignment in axial and coronal plane were designed based on bilateral symmetry of head. Following an algorithm for alignment in sagittal plane which uses CG-TOB reference line for rotation angle detection. Algorithms were implemented in MATLAB and tested and validated using a database of manually annotated head CT scans.
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Object similarity detection
Přidal, Oldřich ; Gogol, František (referee) ; Richter, Miloslav (advisor)
The aim of this thesis was to make a program for object finding, object segmentation and similarity object detection in the image. Object are representing by cars. Description of image making, image preprocessing, geometrical transform and Hough transform was written in the theoretical part of the thesis. Also basic morphological operations, corner detection algorithms and methods of object similarity detection were described in this part. The practical part of the thesis focus to realization of single segments from how to make image, through main program analysis and auxiliary functions to similarity results evaluation. Main program is devided to four parts. The program is preprocessed in the first part. The geometrical transforms are used in the second part and the object similarity is detected in the third part. The last part shows the results. The algorithm is realized in C++ language using the OpenCV library.
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Searching for Points of Interest in Raster Image
Kaněčka, Petr ; Sumec, Stanislav (referee) ; Herout, Adam (advisor)
This document deals with an image points of interest detection possibilities, especially corner detectors. Many applications which are interested in computer vision needs these points as their necessary step in the image processing. It describes the reasons why it is so useful to find these points and shows some basic methods to find them. There are compared features of these methods at the end.
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Automatic rotational alignment of head CT scans
Karmazinová, Inna ; Kolář, Radim (referee) ; Jakubíček, Roman (advisor)
The aim of this thesis is automatic alignment of head CT scan. Currently, the alignment is performed manually by an expert, however this process is time consuming. Therefore, methods for automatization of this process are being developed. Two algorithms for alignment in axial and coronal plane were designed based on bilateral symmetry of head. Following an algorithm for alignment in sagittal plane which uses CG-TOB reference line for rotation angle detection. Algorithms were implemented in MATLAB and tested and validated using a database of manually annotated head CT scans.
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|
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Searching for Points of Interest in Raster Image
Kaněčka, Petr ; Sumec, Stanislav (referee) ; Herout, Adam (advisor)
This document deals with an image points of interest detection possibilities, especially corner detectors. Many applications which are interested in computer vision needs these points as their necessary step in the image processing. It describes the reasons why it is so useful to find these points and shows some basic methods to find them. There are compared features of these methods at the end.
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Object similarity detection
Přidal, Oldřich ; Gogol, František (referee) ; Richter, Miloslav (advisor)
The aim of this thesis was to make a program for object finding, object segmentation and similarity object detection in the image. Object are representing by cars. Description of image making, image preprocessing, geometrical transform and Hough transform was written in the theoretical part of the thesis. Also basic morphological operations, corner detection algorithms and methods of object similarity detection were described in this part. The practical part of the thesis focus to realization of single segments from how to make image, through main program analysis and auxiliary functions to similarity results evaluation. Main program is devided to four parts. The program is preprocessed in the first part. The geometrical transforms are used in the second part and the object similarity is detected in the third part. The last part shows the results. The algorithm is realized in C++ language using the OpenCV library.
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