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Hough's transform for circle detection
Kazík, Martin ; Burget, Radim (referee) ; Říha, Kamil (advisor)
The thesis is focused on the implementation of Hough transform algorithm for circle recognition. Algorithm is implemented in C++ language using open source library OpenCv. As a development environment was chosen Microsoft Visual Studio 2008. At first there is general description of classical Hough transform for line and circle recognition. Then thesis contains description of particular steps of Hough transform algorithm and description of OpenCv functions witch are used in these steps. There is a detail description of functions for converting image to grayscale, smoothing image by Gaussian filter and Canny edge detector for edge detecting in smoothed image. Efficiency and speed of algorithm is increased by using function for finding possible centers. This function using the fact that line perpendicular to the chord of circle and going thought its middle point at the same time have to cross the center of the circle. Results of particular stages of algorithm (converting to grayscale, smoothing by Gaussian filter, edge detection, creating of possible centers accumulator and drawing circles) are presented on ultrasonic image of collagen arterial substitute. In the second part of the thesis the algorithm is used for detection of artery in frames of video captured by ultrasound. There is a description of automatic method for evaluating of success of artery detection. Success of detection is analyzed by changing values of important algorithm parameters. From series of tests there are defined ideal parameters of algorithm for artery detection in the video.
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Hough Transform and its Variants
Stejskal, Jan ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
This thesis focuses on basic principles of Hough transform for the detection of lines, circles and arbitrary shapes, their algorithms, computational complexity and preparation of a picture for detection. The description of implementation of individual algorithms and creation of an aplication that demonstrates their properties. Implementation has been done in programming language MS Visual C++ with the help of open source library OpenCV and user interface has been created using IDE Qt Creator 4.13.2 (Community).
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Hough Transform for Line Detection
Leikep, Bořek ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This paper is describing use of the Hough Transform for line detection. It also contains theoretical description of circle detection and detection of more complex subjects. The goal of this work is to evaluate implementation of line detection in C# on Microsoft .NET platform mostly from a time consumption point of view. The paper contains description of implementation of the application Detektor which is part of this work.
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The study of sedimentation of MR fluids for space applications
Vančurová, Martina ; Strecker, Zbyněk (referee) ; Roupec, Jakub (advisor)
This bachelor thesis deals with experimental determination of the effect of iron particle size on the sedimentation rate of magnetorheological (MR) fluids. MR fluids from three producers are examined here: Liquids Research Limited (Great Britain), HaoHua (China) a LORD Corporation (USA). Particles describing the effect of MR fluids’ different attributes on their sedimentation are summarized in an overview of current knowledge. The development of the Matlab script, that detects and measures the size of particles in the input electron microscope images, is presented. The particles are also measured manually in some images, which is partly used as a reference measurement for the developed script. The particle size measurement results are then compared with the sedimentation behavior of examined MR fluids.
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Hough Transform and its Variants
Stejskal, Jan ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
This thesis focuses on basic principles of Hough transform for the detection of lines, circles and arbitrary shapes, their algorithms, computational complexity and preparation of a picture for detection. The description of implementation of individual algorithms and creation of an aplication that demonstrates their properties. Implementation has been done in programming language MS Visual C++ with the help of open source library OpenCV and user interface has been created using IDE Qt Creator 4.13.2 (Community).
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The study of sedimentation of MR fluids for space applications
Vančurová, Martina ; Strecker, Zbyněk (referee) ; Roupec, Jakub (advisor)
This bachelor thesis deals with experimental determination of the effect of iron particle size on the sedimentation rate of magnetorheological (MR) fluids. MR fluids from three producers are examined here: Liquids Research Limited (Great Britain), HaoHua (China) a LORD Corporation (USA). Particles describing the effect of MR fluids’ different attributes on their sedimentation are summarized in an overview of current knowledge. The development of the Matlab script, that detects and measures the size of particles in the input electron microscope images, is presented. The particles are also measured manually in some images, which is partly used as a reference measurement for the developed script. The particle size measurement results are then compared with the sedimentation behavior of examined MR fluids.
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Hough Transform for Line Detection
Leikep, Bořek ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This paper is describing use of the Hough Transform for line detection. It also contains theoretical description of circle detection and detection of more complex subjects. The goal of this work is to evaluate implementation of line detection in C# on Microsoft .NET platform mostly from a time consumption point of view. The paper contains description of implementation of the application Detektor which is part of this work.
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|
|
Hough's transform for circle detection
Kazík, Martin ; Burget, Radim (referee) ; Říha, Kamil (advisor)
The thesis is focused on the implementation of Hough transform algorithm for circle recognition. Algorithm is implemented in C++ language using open source library OpenCv. As a development environment was chosen Microsoft Visual Studio 2008. At first there is general description of classical Hough transform for line and circle recognition. Then thesis contains description of particular steps of Hough transform algorithm and description of OpenCv functions witch are used in these steps. There is a detail description of functions for converting image to grayscale, smoothing image by Gaussian filter and Canny edge detector for edge detecting in smoothed image. Efficiency and speed of algorithm is increased by using function for finding possible centers. This function using the fact that line perpendicular to the chord of circle and going thought its middle point at the same time have to cross the center of the circle. Results of particular stages of algorithm (converting to grayscale, smoothing by Gaussian filter, edge detection, creating of possible centers accumulator and drawing circles) are presented on ultrasonic image of collagen arterial substitute. In the second part of the thesis the algorithm is used for detection of artery in frames of video captured by ultrasound. There is a description of automatic method for evaluating of success of artery detection. Success of detection is analyzed by changing values of important algorithm parameters. From series of tests there are defined ideal parameters of algorithm for artery detection in the video.
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