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AeroWorks: Visual Identification of Aircraft Flight Regimes
Kardoš, Juraj ; Dittrich, Petr (referee) ; Chudý, Peter (advisor)
This Bachelor thesis deals with the visual identification of an aircraft flight's regimes. It describes the spatial motion of an airplane along with the visualization of flight parameters and also proposes a system for a flight regime visual identification. The system processes the input video on a frame by frame basis in two steps. Initially, the video is being stabilized and the system subsequently proceeds in identification of flight related quantities describing the current flight state. Video stabilization is based on feature points detection and an optical flow calculation. Video frames are transformed in order to achieve sufficient consecutive frames overlap and thus to minimize the parasitic oscillations of the video acquisition system. Identification of values indicated by flight instruments is based on the Hough line transform approach. The thesis also includes a description of an application that analyzes a video from the cockpit of an aircraft and is able to recognize the instrument values displayed on specified flight instruments.
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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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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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Web Interface for Image Processing
Beran, Milan ; Mlích, Jozef (referee) ; Beran, Vítězslav (advisor)
This paper concerns design and implementation of a system which provides easier control of digital image processing console applications. The work is based on threes information technology domains: distributed systems, image processing and web technologies. The system consist of number of separated components communicating with each other in order of processing desired tasks. Control interface and the task daemon are implemented in PHP language. Image processing programs are implemented in C language using OpenCV graphic library. Control of the system is carried out through web graphical interface using dynamic control components implemented in Javascript language, jQuery library and jQueryUI interface. Part of the work is also a description of employment of the system in practical use in two environments, experiments concerning system performance and web interface user acceptance testing.
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Curve Detection in Images
Labaj, Tomáš ; Řezníček, Ivo (referee) ; Španěl, Michal (advisor)
This thesis deals with curve detection in images. First, current methods used in this area of image processing are summarized and described. Main topic of this thesis is a comparison of methods of parametric curve detection, such as Hough transformation and RANSAC-based methods. These methods are compared according to several criteria which are the most important for precise edge detection.
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Detection, Localization, and Decoding QR Code in Image
Kałuża, Marian ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This thesis describes the QR Code detector based on detecting edge lines using Hough Transform and point-to-line parametrization. Generally, the presented method can be also used for detecting different types of matrix codes. This approach searches in the accumulated Hough space for evidence of the matrix code as one compound object. It detects parallel lines by finding a concurrent lines' image groups in the transformed space. It contrasts with the common approach which is first detect the lines and calculate the vanishing point afterwards, which omit much of the useful information stored in the Hough space which can be useful for the detection of vanishing points. The purpose of this thesis is a research of methods which can detect the QR Code in spite of rotation, perspective distortion or uneven illumination. The experimental evaluation shows that the presented algorithm is stable and accurate and is tolerant to high degrees of perspective deformation.
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Detection and Recognition of Matrix Code in Real Time
Dobrovolný, Martin ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This work is dealing with detecting and recongnizing matrix codes. It is experimenting use of PCLines algorithm. PCLines is using Hough transform and parallel coordinates for fast detection of lines. Suggested algorithm with double use PCLines detects sets of parallels and problem with image distorted by with parallel projection is solved by cross-ratio equation. We did some optimizations for realtime running and created experimental implementation. Test results shows, that use PCLines one way to detect matrix codes.
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Handwritten Character Recognition Using Artificial Neural Networks
Horký, Vladimír ; Janda, Miloš (referee) ; Plchot, Oldřich (advisor)
Neural networks with algorithm back-propagation will be presented in this work. Theoretical background of the algorithm will be explained. The problems with training neural nets will be solving there. The work discuss some techniques of image preprocessing and image extraction features, which is one of main part in classification. Some part of work discuss few experiments with neural nets with chosen image features.
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3D Objects Reconstruction from Image Data
Cír, Filip ; Kršek, Přemysl (referee) ; Španěl, Michal (advisor)
This paper deals with 3D reconstruction of objects from image data. There is describes theoretical basis of the 3D optical scanning. Handheld 3D optical scanner setup is described composed of a single camera and a line laser whose position is fixed with respect to the camera. Set of image markers and a simple real-time detection algorithm are proposed. Detected markers are used to estimate position and orientation of the camera. Finally, laser detection and triangulation of points lying on object surface are discussed.
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