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Neural Network Based Edge Detection
Janda, Miloš ; Žák, Pavel (referee) ; Švub, Miroslav (advisor)
Aim of this thesis is description of neural network based edge detection methods that are substitute for classic methods of detection using edge operators. First chapters generally discussed the issues of image processing, edge detection and neural networks. The objective of the main part is to show process of generating synthetic images, extracting training datasets and discussing variants of suitable topologies of neural networks for purpose of edge detection. The last part of the thesis is dedicated to evaluating and measuring accuracy values of neural network.
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Hough's transform for circle detection
Kazík, Martin ; Burget, Radim (referee) ; Říha, Kamil (advisor)
The thesis is focused on the implementation of Hough transform algorithm for circle recognition. Algorithm is implemented in C++ language using open source library OpenCv. As a development environment was chosen Microsoft Visual Studio 2008. At first there is general description of classical Hough transform for line and circle recognition. Then thesis contains description of particular steps of Hough transform algorithm and description of OpenCv functions witch are used in these steps. There is a detail description of functions for converting image to grayscale, smoothing image by Gaussian filter and Canny edge detector for edge detecting in smoothed image. Efficiency and speed of algorithm is increased by using function for finding possible centers. This function using the fact that line perpendicular to the chord of circle and going thought its middle point at the same time have to cross the center of the circle. Results of particular stages of algorithm (converting to grayscale, smoothing by Gaussian filter, edge detection, creating of possible centers accumulator and drawing circles) are presented on ultrasonic image of collagen arterial substitute. In the second part of the thesis the algorithm is used for detection of artery in frames of video captured by ultrasound. There is a description of automatic method for evaluating of success of artery detection. Success of detection is analyzed by changing values of important algorithm parameters. From series of tests there are defined ideal parameters of algorithm for artery detection in the video.
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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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The comparison of edge detectors
Dula, Marek ; Loučka, Pavel (referee) ; Procházková, Jana (advisor)
In this bachelor thesis we focus on the comparison of different methods for finding edges and filtering noise in the image. In the introduction, we focus on basic concepts related to the issue. Subsequently, we describe the individual methods of edge detection and noise filtering in the picture. The next part contains software processing of individual methods in Matlab software. Finally, we compare the individual noise filters and edge detectors.
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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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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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Processing and analysis of ophthalmologic images and data
Brož, Petr ; Hozman, Jiří (referee) ; Kolář, Radim (advisor)
In this work is describe anatomy and physiology of the cornea. The following are the primary non-inflamatory degeneration of the cornea. Then describe the physical principles diagnostic devices for cornea – keratometer, pachymeter, Michelson interferometr and optical coherence tomography (OCT). At the end of the theoretical introduction is describes the principle of laser correction surgery – LASIK. The practical part is divided into two main objectives. The first task is propose an algorithm for automatic detection of corneal surface and then calculation of corneal thickness and size of the chamber angle in Matlab. The aim of the second task is image flap analysis for boundary detection.
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2D barcode recognition system
Sedlář, Martin ; Richter, Miloslav (referee) ; Petyovský, Petr (advisor)
This bachelor’s thesis deals with 2D barcode reading. At the beginning a brief overview of the most used barcodes is shown. The work mainly deals with QR codes. Their structure, composition and rules for encoding and decoding are explained. Problems with arrangement of photographic scene are solved too. C++ algorithm for QR code reading is described with usage of the OpenCV library.
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Usage of advanced signal processing techniques for motor traffic safety enhancement
Beneš, Radek ; Říha, Kamil (referee) ; Atassi, Hicham (advisor)
This diploma thesis deals with the issue of the recognition of road signs in the video sequence. Such systems increase the traffic safety and are implemented by major car factories in the manufactured cars (Opel, BMW). First, the motivation for the utilisation of these systems is presented, followed by the survey of the current state of the art methods. Finally, a specific road-sign detection method is chosen and described in detail. The method uses advanced techniques of signal processing. Segmentation method in color space is used for sign detection and subsequent classification is accomplished by linear classification with optional use of PCA method. In addition, the method contains the prediction of road sign positions based on Kalman filtering. Implemented system yields relatively accurate results and overall analysis and discussion is enclosed.
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Visual Localization of Chess Pieces
Hampl, Tomáš ; Špaňhel, Jakub (referee) ; Hradiš, Michal (advisor)
The main goal of this thesis was to analyze state of the chess game and to locate chess pieces on the chessboard. Chessboard recognition is based on locating lines in image using Hough transform and PClines. The figures were detected by models of convolutional neural networks - YOLOv3, YOLOv4 and YOLOv4 tiny. Evaluation was perfomed on our data set. Chessboard detection achieves accuracy of 97%, complete localization of the state reaches 74,5% and piece localization 96%.
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