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Determination of droplet velocity and size from high-speed imaging
Juroška, Jan ; Cejpek, Ondřej (referee) ; Malý, Milan (advisor)
In this bachelor thesis there was created a method of getting velocity and size of droplets form a video using computer vision. Velocity is obtained via PIVlab toolbox in matlab, wich uses Particle Image Velocimetry. Size is obtained via matlab code. Theoretical basis on wich this code was written is included in the theoretical part of this thesis. In practical part of this thesis, accuracy of this method was evaluated and the method was applied on a video of a real spray droplet flow.
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Finding of known object in a series of digital images
Bednařík, Jan ; Hasmanda, Martin (referee) ; Číka, Petr (advisor)
The aim of the thesis is detection of a known object in series of pictures. Detection is divided into two methods. First method is based on edge and color detection and comparison. Edge detection is based on detection using both Gradient and Laplacian, so on the first-order and the second-order derivative. Sobel operators were used as well as Laplacian of gaussian method. Thresholding is also used as well as autothreshold calculation. There are two variants of color detection considered in the thesis, direct color comparison and detection based on interest color search. The second part of the thesis is based on interested point detection using a modified SURF method to detect a known object in series of pictures.
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Determination of droplet velocity and size from high-speed imaging
Juroška, Jan ; Cejpek, Ondřej (referee) ; Malý, Milan (advisor)
In this bachelor thesis there was created a method of getting velocity and size of droplets form a video using computer vision. Velocity is obtained via PIVlab toolbox in matlab, wich uses Particle Image Velocimetry. Size is obtained via matlab code. Theoretical basis on wich this code was written is included in the theoretical part of this thesis. In practical part of this thesis, accuracy of this method was evaluated and the method was applied on a video of a real spray droplet flow.
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Finding of known object in a series of digital images
Bednařík, Jan ; Hasmanda, Martin (referee) ; Číka, Petr (advisor)
The aim of the thesis is detection of a known object in series of pictures. Detection is divided into two methods. First method is based on edge and color detection and comparison. Edge detection is based on detection using both Gradient and Laplacian, so on the first-order and the second-order derivative. Sobel operators were used as well as Laplacian of gaussian method. Thresholding is also used as well as autothreshold calculation. There are two variants of color detection considered in the thesis, direct color comparison and detection based on interest color search. The second part of the thesis is based on interested point detection using a modified SURF method to detect a known object in series of pictures.
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