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Warning system to keep the vehicle in the lane
Fendrich, Vítězslav ; Říha, Kamil (referee) ; Poměnková, Jitka (advisor)
This thesis adresses designing a device that detects lane departure of a vehicle via a video feed from a camera module. This device is intended to be attached onto the windshield of the vehicle. The initial part of the thesis will cover the current methods of lane departure detection through a video feed. In the following part the selection of suitable hardware, specifically the latest model of a Raspberry Pi, has been made. Afterwards a suitable container for the aforementioned hardware has been designed and created using a 3D printer. Subsequently an appropriate LDWS algorithm is chosen and designed. In the next part, the range and parameters of a testing database through which the proper functionality of the device will be tested on are chosen. The final part of the thesis contains evaluation of the success rate of detection via the acquired database.
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Fingerprint Processing
Pšenák, Patrik ; Krajsa, Ondřej (referee) ; Říha, Kamil (advisor)
My master's thesis deals with the different techniques used in fingerprints processing for identifying fingerprints. Using the software tool Visual C++ and functions of OpenCV library I programmed a separate application, that is able to select from a database of fingerprints the most consistent with a comparative fingerprint images, even when they are mutually shifted in the direction of axes X and Y. The next step in my program is to gather the edges of the fingerprint image. Those obtained using Canny edge detector. Furthermore, getting the contours of the image edges. To determine, whether the contours are the same, just compare some characteristic points of contours. Next I use a histogram function to determine the number of points for approximation of contours and evaluating compliance fingerprints. Since the processing of the input fingerprint image (or rather the approximation of the contour points) remains in the picture as black (background) and red (the approximation of the contour points), this means, that zero and the last element of the histogram represent the number of black and red points. Comparison is in percentage and is obtained by subtracting the approximated points of contours image from the original fingerprint image of approximated contour points of matched fingerprints. It determined, what percentage of red points have disappeared, so as to match two fingerprint images. If on the resulting figure is not left neither a red point, that corresponds to 100% of the fingerprints Compliance.
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Motion Detection in Video
Polanský, Petr ; Sochor, Jakub (referee) ; Herout, Adam (advisor)
The objective of this work is evaluate motion detection using Gaussian Mixture Model. When algorithm detects motion, it creates short video capturing this motion and visualizing it properly. Visualization is made by white pixels intensity graph. System is applicable on less busy area when motion is more noticeable. Results of this work shows how surrounding environment and camera position influence detection.
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Techniques Used for Image Smoothing, Blurring and Sharpening
Kubínek, Jiří ; Šilhavá, Jana (referee) ; Venera, Jiří (advisor)
This work is dedicated to methods used for digital image editing. It defines fundamental terms for this work as color space or noise. Above all, it analyses methods allowing image sharpening and blurring. It describes some of the most known algorithms from the theoretical point of view, but also introduces their implementation in C programming language. There are compared according to time complexity. The purpose of this work is to introduce digital image filtering and demonstrate elementary procedures used for their implementation.
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Edge Detection and Representation Algorithms for Object Recognition
Beránek, Jan ; Herout, Adam (referee) ; Španěl, Michal (advisor)
Main topic of this work are edge detection and representation algorithms used in an digital image. Some of typically used algorithms and methods are shown and described. Next aim of this work is design and description of implementation of a simple OCR system based on edge detection with use of an artificial neural net for a machine printed character recognition. The system was written in C programming language and uses OpenCV graphic library and FANN library for creating a neural net. Application was created and tested under Windows XP operating system.
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Content Based Photo Search
Valenta, Martin ; Mlích, Jozef (referee) ; Španěl, Michal (advisor)
This work deals with methods appropriate to content based photo search, design and implementation of subsequent applications for searching buildings. Purpose of the application is to create an interactive guide to the city using a combination of Web and client technologies (mobile, desktop). There are subscribed in detail the steps of recognition. A key points of the image are extracted by SURF. A visual dictionary is calculated with k-means algorithm. The dictionary is weighted by TF- IDF. To describe the image data is used a Bag of Words method. The text also mentions the new trends in this area and summarizes the application design and implementation results achieved.
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Canny's Operator and Other Useful Edge Detectors
Janda, Miloš ; Juránek, Roman (referee) ; Venera, Jiří (advisor)
This work introduces main approaches for digital image processing and defines fundamental terms for successful understanding. Main aim is description of several suitable methods used in digital image pre-processing, methods for edge detection and consequent post-processing of these. The final goal of this work is effective implementation and complex comparison of methods for edge detection.
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Advanced Image Edge Detection
Novák, Marek ; Nečas, Ondřej (referee) ; Španěl, Michal (advisor)
Edge detection is one of the fundamental techniques used in the fields of image processing and computer vision. Goal of this thesis is an implementation and evaluation of chosen basic and advanced edge detection methods, including performance evaluation. Thesis describes implementation and performance evaluation of Linked Edges as Stable Region Boundaries method. Performance is evaluated using Berkeley Segmentation Data Set and Benchmarks 500 .
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Fast Detection of Traffic Signs in Image
Sochor, Jakub ; Španěl, Michal (referee) ; Herout, Adam (advisor)
This bachelor thesis focuses on detection of traffic signs in real-time. First of all, algorithms used for traffic signs detection will be presented. Description of approach used in this thesis based on shapes of traffic signs and modifications of this algorithm will follow. Evaluation of accomplished results with this algorithm will be also presented.
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Handwriting and Signature Verification
Beránek, Jan ; Řezníček, Ivo (referee) ; Španěl, Michal (advisor)
This paper concerns methods of verification of person's signature and handwriting. Some of commonly used techniques are resumed and described with related literature being referred. Next aim of this work is design and implementation of a simple handwriting verification application. Application is based on edge detection and comparison of a set of structural and statistical features. As a support classification tool a SVM classifier of the LIBSVM software is employed. The Application is written in C language using OpenCV graphics library. Testing and training set was extracted from samples found in the IAM Handwriting Database. Application was created and tested in the Windows XP operating system.
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