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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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Microscope Image Processing
Janda, Ondřej ; Ošmera, Pavel (referee) ; Matoušek, Radomil (advisor)
This diploma thesis deals with image processing of microbiological data. Firstly the brief introduction to biological basics is given. Secondly we take focus on basic and used image processing methods. Integral part of this thesis is working application witch uses image processing methods on input data. Creating user interface for this application is also part of this work. Documentation is provided.
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Traffic Violation Detection on Crossroads
Karpíšek, Miroslav ; Bartl, Vojtěch (referee) ; Špaňhel, Jakub (advisor)
This bachelor thesis presents procedure for the detection of red-light violation. In the theoretical part of the thesis, the current solution aproaches used in image processing are described. The practical part focuses on creation of program for automatic traffic corridors detection, vehicle tracking and the current traffic light state detection. The results obtained by experimenting with the proposed procedure and the possibilities of its further improvement are also discussed.
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Automatic Classification of Antibiotic Discs Photographs
Hesko, Branislav ; Kolář, Radim (referee) ; Walek, Petr (advisor)
This bachelor’s thesis deals with problematics of automatical classification of antibiotical discs photographies.The aim of this work is to apply several methods on images to create output with classified images. The problem is split into preprocessing and classification by itself. Preprocessing is solved with the use of Canny’s edge detector, Hough transform for detecting lines and circles, alignment, rotation and cutting out text with individual letters. Classification is then realised using neural network and minimum distance between pixels. Explanations and analysis of this methods should help to create theoretical overview on analysed problematics. The application of these algorithms in practical part will show some persisting imperfections of choosen processing caused by low quality of photographies of antibiotical discs.
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Automatic Verification of Product Assembling Correctness
Doležal, Petr ; Šmirg, Ondřej (referee) ; Říha, Kamil (advisor)
This diploma evaluates methods for verification of key characteristics of a product using digital image processing techniques. At first, reasons why this work has been done are described followed by a list of all methods that were used in this diploma such as Hough Circle Transform and Flood Fill (Seed Fill) algorithm. Also, a new approach how to compensate non regularly illuminated scene, which is based on surface modeling with Bézier Surfaces, was developed. Moreover, the algorithm was implemented in the C++ programming language and some of the parts were also simulated using the MATLAB environment. The algorithm was evaluated based on the percentage level of recognition of the required parameters. Efficiency of the implementation is also important for the author.
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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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Removal of Anesthesia Tube from Pediatric CT Data
Šejnohová, Marie ; Čmiel, Vratislav (referee) ; Walek, Petr (advisor)
The goal of this semestral thesis is to detect and subsequently to eliminate an anaesthesiological tube from a pediatric CT data using a Hough transform. It describes particular edge detectors based on the first and the second differences. In addition, it explains a principle of the edge detection using to this detectors. Then there is talked about the Hough Transform where is described a parametric space for lines and circles detection. Here follows a description of image to the parametric space. In a practical part there is implementation of the edge detection and the Hough transform. The Hough space must be normalized to better evaluation. At the evaluation there are found a concentric cicrles corresponding with edges of an anaesthesiological tube which is then possible to remove.
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Scrabble Game State Recognition
Staněk, Jiří ; Polok, Lukáš (referee) ; Svoboda, Pavel (advisor)
This thesis deals with the image processing, object detection and recognition and OCR (Optical Character Recognition). It describes the design and implementation of an application for Scrabble game state recognition using some algorithms in this area. It describes the detection of the game board in the image and the letters on it, classification of detected letters and word formation. The final application uses the OpenCV library for image processing and the LIBSVM library for letter classification. The application was tested on a custom set of photos.
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