|
|
Automatic Image Cut in Android
Ondriga, Patrik ; Uhříček, Daniel (referee) ; Kolář, Dušan (advisor)
Thesis is focused on suggest image cut. The idea was to create a mobile application that would suggest image cut from screenshot of a social network so after that, there was only image without social network environment. No AI was used for this purpose, but edge detection methods.
|
|
|
Object Detection Based on Edges
Caha, Jaroslav ; Švub, Miroslav (referee) ; Španěl, Michal (advisor)
This work presents a door detection method in images for mobile robot navigation. The method is able to detect doors in an input picture on the basis of found image edges. It is important to distinguish the door from similar objects like windows, paintings, or floor patterns. Therefore, the picture is divided into more parts (a floor, a wall, a ceiling) so that the potential placement of the door can be better drawn.
|
|
|
Recognition of Pieces on Chessboard from Photography on Mobile Device
Tábi, Roman ; Polok, Lukáš (referee) ; Sochor, Jakub (advisor)
The aim of this bachelor thesis is a mobile application for Android platform, which recognises chessboard pieces from photography of the chessboard. Application uses photography from gallery and determine the content of every single chessboard cell, thus if it contains black or white piece, or if it is empty. The task is solved in two stages. First is the detection of chessboard lines to determine the position of chessboard cells, second is the detection of chessboard pieces. The result of this thesis is working Android application.
|
|
|
MRI image segmantation based on edge detection
Simichanidis, Michail ; Lamoš, Martin (referee) ; Harabiš, Vratislav (advisor)
Cílem této práce je představit základní segmentační techniky používáné v oblasti medicínského zpracování obrazových dat a pomocí 3D prohlížeče schopného zobrazit 3D obrazy implementovat segmentační modul založený na hranové detekci a vyhodnotit výsledky. Navrhovaný prohlížeč je sestavený v prostředi Matlab GUI a je schopen načíst objem 3D snímků představující lidskou hlavu. Navrhovaný segmentační modul je založen na použití hranových detektorů, zejména Cannyho detektoru.
|
|
|
Signal processing using parallel mathematical operations
Polášek, Jaromír ; Ležák, Petr (referee) ; Mžourek, Zdeněk (advisor)
This Bachelor thesis deals with the acceleration of function calculations, using parallel computing mediated by NVDIA graphics cards via CUDA technology. The theoretical part describes the general principles of parallel computing and the basic characteristics and parameters of graphics cards NVDIA. The theoretical part also deals with basic principles of CUDA technology. End of the theoretical part focuses on FFTW and cuFFT libraries. The practical part deals with the comparison of the performance between GPU and CPU functions filter2D and Canny and practical possibilities of accelerating fast convolution calculation. The practical part also describes sample code that was used to compare the performance between GPU and CPU. The results of this program are then plotted and evaluated.
|
|
|
Barcode recognition system
Svoboda, Radovan ; Horák, Karel (referee) ; Petyovský, Petr (advisor)
This work deals with principle and technological process used to detect barcodes that are commonly used. It contains brief overview of barcodes according to type and structure. Also it takes a closer look on type DATAMATRIX and its analysis. It describes possible hardware and software approaches that can be used to detect barcodes, describes concrete concept of scanning barcode and software solution for its identification.
|
|
|
Automatic Image Cut in Android
Ondriga, Patrik ; Uhříček, Daniel (referee) ; Kolář, Dušan (advisor)
Thesis is focused on suggest image cut. The idea was to create a mobile application that would suggest image cut from screenshot of a social network so after that, there was only image without social network environment. No AI was used for this purpose, but edge detection methods.
|
|
|
Signal processing using parallel mathematical operations
Polášek, Jaromír ; Ležák, Petr (referee) ; Mžourek, Zdeněk (advisor)
This Bachelor thesis deals with the acceleration of function calculations, using parallel computing mediated by NVDIA graphics cards via CUDA technology. The theoretical part describes the general principles of parallel computing and the basic characteristics and parameters of graphics cards NVDIA. The theoretical part also deals with basic principles of CUDA technology. End of the theoretical part focuses on FFTW and cuFFT libraries. The practical part deals with the comparison of the performance between GPU and CPU functions filter2D and Canny and practical possibilities of accelerating fast convolution calculation. The practical part also describes sample code that was used to compare the performance between GPU and CPU. The results of this program are then plotted and evaluated.
|
|
|
MRI image segmantation based on edge detection
Simichanidis, Michail ; Lamoš, Martin (referee) ; Harabiš, Vratislav (advisor)
Cílem této práce je představit základní segmentační techniky používáné v oblasti medicínského zpracování obrazových dat a pomocí 3D prohlížeče schopného zobrazit 3D obrazy implementovat segmentační modul založený na hranové detekci a vyhodnotit výsledky. Navrhovaný prohlížeč je sestavený v prostředi Matlab GUI a je schopen načíst objem 3D snímků představující lidskou hlavu. Navrhovaný segmentační modul je založen na použití hranových detektorů, zejména Cannyho detektoru.
|
|
|
Object Detection Based on Edges
Caha, Jaroslav ; Švub, Miroslav (referee) ; Španěl, Michal (advisor)
This work presents a door detection method in images for mobile robot navigation. The method is able to detect doors in an input picture on the basis of found image edges. It is important to distinguish the door from similar objects like windows, paintings, or floor patterns. Therefore, the picture is divided into more parts (a floor, a wall, a ceiling) so that the potential placement of the door can be better drawn.
|
guest ::
