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Ellipse Detection
Hříbek, Petr ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
The thesis introduces methods used for an ellipse detection. Each method is theoretically described in current subsection. The description includes methods like Hough transform, Random Hough transform, RANSAC, Genetic Algorithm and improvements with optimalization. Further there are described modifications of current procedures in the thesis to reach better results. Next to the last chapter represents testing parameters of speed, quality and accuracy of implemented algorithms. There is a conclusion of testing and a result discussion at the end.
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Image comparison using eye movement simulation
Veľk, Miroslav ; Bálek, Martin (advisor) ; Bílý, Tomáš (referee)
In the present work we study the biologically plausible and psychologically motivated model of human visual attention and explain the importance of similar models. We propose and implement methods to find salient locations in the image. We give detailed instructions on creating saliency maps, which contain information about saliency of every location in the explored scene. Using this maps we simulate shifts of visual attention (eye movement). A simulated scanpath representing this shifts is created and then analyzed. We especially focus on comparison of different scanpaths by different features. Finally practical use of our model is outlined.
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Ellipse Detection
Hříbek, Petr ; Herout, Adam (referee) ; Hradiš, Michal (advisor)
The thesis introduces methods used for an ellipse detection. Each method is theoretically described in current subsection. The description includes methods like Hough transform, Random Hough transform, RANSAC, Genetic Algorithm and improvements with optimalization. Further there are described modifications of current procedures in the thesis to reach better results. Next to the last chapter represents testing parameters of speed, quality and accuracy of implemented algorithms. There is a conclusion of testing and a result discussion at the end.
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