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Control Program for Colony-picking Robot
Matějka, Lukáš ; Florián, Tomáš (referee) ; Žalud, Luděk (advisor)
From an overview of most commonly used kinematic conceptions of robotic manipulators, the conception of Cartesian robot was identified as the most suitable for the given task of colony picking. A control system consisting of two modular parts has been designed for the colony picking robot. ColonyCounter module is a set of image processing libraries for identification of microbial colonies in image data and precise localization of individual colonies. This has been achieved by combination of multiple methods, most importantly connected components labelling and Hough circular transform. The second module – ColonyPicker – utilizes output of ColonyCounter module to plan the picking and placing of colonies. Subsequently it controls the transfer process itself using an innovative task planning and executing system.
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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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Monitoring System for the Mobile Units
Ševčík, Pavel ; Fojtík, Pavel (referee) ; Kučera, Pavel (advisor)
This thesis deals with real-time image processing including preprocessing, segmentation and classification of objects. On the basis of classification is determined rotation and position of objects. The aim of this project is to develop a modular application which will be able to monitor mobile units and determine their rotation and position in real time.
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Smart distance measurement module for football robot
Hrbáček, Jan ; Honzík, Petr (referee) ; Havránek, Zdeněk (advisor)
Diplomová práce se zabývá vývojem dálkoměrného modulu určeného pro rozšíření senzorické výbavy fotbalového robotu kategorie MiroSot. Tento modul na vstupu přijímá data ze senzorické jednotky vyvinuté na Ústavu automatizace a měřicí techniky a z těchto dat extrahuje polohu míčku. Je srovnáno využití neuronové sítě a zjednodušené Houghovy transformace pro získání polohy těžiště míčku. V práci je popsána pomocná implementace funkcionality v prostředích MATLAB a C#.NET i hlavní implementace pro signálový mikrokontrolér Freescale MC56F8013. Výsledný modul splňuje nároky zadání a je plně funkční.
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Measuring of Vehicle Instant Velocity
Štencel, Jakub ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
The theoretical part of this paper summarizes the methods for motion analysis in an image. Inspected in detail are the methods used for motion detection in the image sequences. The practical part is focused on finding the significant points in the image (the targeting reticles on the body of the vehicle) which are then used to calculate the speed of the vehicle.
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Computer analyse of LBIC pictures
Štencel, Jakub ; Křivík, Petr (referee) ; Vaněk, Jiří (advisor)
This thesis is concerned with image picture analysis, especially with images obtained by diagnostic LBIC method. The individual defects occuring on solar cells are described in theoretical part, including methods which serve for making referential image. Furthermore, the creation of difference image is analysed, from whom the interferences will be evaluated. The aim of practical part is to focus on generation of algorithms which investigate the defects, and the description of application for program control is described in conclusion.
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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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Segmentation in the color fundus imges
Malínský, Miloš ; Jiřík, Radovan (referee) ; Kolář, Radim (advisor)
Optic nerve head and macula are important structures in fundus images. Detection and measurement plays crucial role in several diagnosis methods of optic disease. This work is focused on the detection of the central point of macula and optic nerve head, where the inner border is detected too. There are many methods for extracting this structure in retinal images. Due to the unique properties of each acquisition technique, a single generally acknowledged detection algorithm does not exist. The whole detection process is described from preprocessing through segmentation towards postprocessing. Presented methods are based on the combination of correlation techniques, Hough transform, active contours and morphological operations. The detected contours of the optic nerve head are evaluated and quantitatively compared with the contour drawn by experienced ophthalmologist. The master thesis contains quantity of images that help to describe detection methods.
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Image object detection
Pluskal, Richard ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
The thesis deals with design of a program for entering various types of geometric objects in an image for the purpose of their further processing. The program should also contain algorithms to ease object entering (e.g. refining manually entered object position). In the first part there is a brief description of the computer vision and its basic methods used in the work as well as introduction of the OpenCV image processing library. The following part describes three types of geometric primitives that are implemented for now. Because the output of the program is in universal XML format, there is short chapter about the XML. After that, there are summarized some methods for searching of parametric description of geometric primitives in an image. The final chapter describes the proposed system and evaluates possibility and suitability of its usage for various types of images.
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