This diploma thesis deals with posibilities of using structural methods for recognition objects in a picture. The first part of this thesis describes methods for preparing the picture before processing. The core of the whole thesis is in chapter 3, where is analyzed in details the problem of the formation of deformation grammars for parsing and their using. In the next part is space for syntactic parser describing the deformation grammar. The conclusion is focused on testing the suggested methods and their results.

The thesis deals with methodology proposal for shape and dimension measurement of rotationally symmetric forgings. Most of available non-contact systems are not possible to use for this purpose, mainly due to high temperatures and large dimensions of forgings. Only a few commercial systems which are designed for this specific measurement are currently in the market. These systems are based on a principle of evaluating time response of posted modulated signal. However, scientific literature shows also other approaches to the measurement, which are based on principle of triangulation and methods of image analysis. Advantage of systems based on these principles should be especially measurement speed and significantly lower price. The paper describes current state of research and development in this area and proposes a new approach which is based on passive photogrammetry and image analysis. The core of the work is devoted to the design of partial methods and their implementation in the Matlab programming language. Functionality of the methodology and the software has been verified by measuring cylindrical tubes of small dimensions in laboratory conditions. The designed methods were discussed and evaluated based on statistical analysis of the measurement results, and further steps to increase the accuracy and reduce the spread of results were suggested. Optimization and further development of this methodology could lead to the design a professional measuring system intended for this specific application.

The wavelet transform has been used for several decades and it is still an object of research - especially its recent modifications which are using the so-called second generation wavelets. It has several advantages over other integral transformations. The most important of them are the ability to localize both in time and frequency and an ability to decorrelate some real non-stationary signals such as images. For this reasons, the wavelet transform became an often used tool in many image processing tasks, for example in image compression, edge detection or contrast enhancement. In this thesis, the wavelet transform is explained, including the theoretical foundation and implementation for use with two-dimensional discrete signals. Some of the applications of the wavelet transform are presented and described. The wavelet transform showed to be suitable tool for edge detection, noise reduction, contrast enhancement and HDR compression.

This thesis presents the Deriche edge detector as an interesting alternative to the commonly used edge detectors. The Deriche edge detector's design is presented to the reader as well as its strengths and weaknesses. Performance issues of the Deriche edge detector are described in comparison with the Canny edge detector together with recommendations for using the Deriche detector. Finally, edge detection quality of the Deriche edge detector is compared to the Canny edge detector using robust subjective evaluation method.

This Thesis is focused on study of augmented reality and creation of algorithm for a uniform marker field detector. The marker field is modified to be tolerant to a high degree of deformation. Existing marker types are studied. Important part of the paper is a description of uniform marker field technique, from which a modified assignment is derived. It also describes CUDA architecture on which the first part of the detection algorithm is implemented. Deformation tolerance, detection rate and speed tests are performed on the resulting detector algorithm.

This work deals with the design and implementation of high-speed communication interfaces into FPGA chip and their utilizing for image transmission and processing. In the implementation part has been created PCI Express endpoint device, which provides data transfers between the FPGA chip and computer RAM memory. As a source of image data for further processing was connected the Unicam M621 camera throught the Ethernet interface to FPGA chip. The project was implemented on the Xilinx SP605 development board. Using both of the the interfaces were demonstrated on the application of edge detection using Sobel operator. The PCI Express endpoint device driver for the Linux operating system and a simple application interface in C language was also created within this project.

This thesis deals with recognition by retina (identification, verification). In introduction we describe information about human eye, its diseases with focus on retina impact. Further (in main part) we conduct SW analyses based on biometry retina requirements and design of SW application for retina recognition. It is based on processing pipeline design (sequential application of image filters). This pipeline mostly contains filters focused on edge detection, adaptive threshold and skeletonisation. Finally, basic SW functions includes users registration (enroll), identification, verification. In conclusion we discuss experimental results and success of designed SW in practical application.

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.

The goal of this thesis is to get familiarized with software component Microsoft .NET Framework and the problems of methods of interest point detection. On the basis of this knowledge, it is required to develop a method for the evaluation of used detectors and then implement a console application that is simply able to evaluate the results of interest point detection methods. Such evaluation is important in the process of development of the algorithms for the detection using projected method of evaluation. The interest points are searched in several images which represent the same scene from different angles of view. The requirements also inculde creation of graphic user interface that allows an easy way to setup the evaluation conditions.

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