AutoGraff: towards a computational understanding of graffiti writing and related art forms.

The aim of this thesis is to develop a system that generates letters and pictures with a style that is immediately recognizable as graffiti art or calligraphy. The proposed system can be used similarly to, and in tight integration with, conventional computer-aided geometric design tools and can be used to generate synthetic graffiti content for urban environments in games and in movies, and to guide robotic or fabrication systems that can materialise the output of the system with physical drawing media. The thesis is divided into two main parts. The first part describes a set of stroke primitives, building blocks that can be combined to generate different designs that resemble graffiti or calligraphy. These primitives mimic the process typically used to design graffiti letters and exploit well known principles of motor control to model the way in which an artist moves when incrementally tracing stylised letter forms. The second part demonstrates how these stroke primitives can be automatically recovered from input geometry defined in vector form, such as the digitised traces of writing made by a user, or the glyph outlines in a font. This procedure converts the input geometry into a seed that can be transformed into a variety of calligraphic and graffiti stylisations, which depend on parametric variations of the strokes

Contributions to Geology, 1944

"Contributions to Geology," including shorter papers, have been issued by the Bureau of Economic Geology since 1928. Each volume of the "Contributions" bears a bulletin number and is thus a part of The University of Texas series. The volumes issued in this "Contributions" series are University of Texas Bulletins 2801, 2901, 3001, 3101, 3201, 3501; University of Texas Publication 3945; and the present volume, University of Texas Publication 4401. The papers of this volume of "Contributions" include two papers on stratigraphic subjects and selected studies of fossil groups as follows: graptolites from the Cambrian, corals from the Carboniferous, Foraminifera from the Upper Carboniferous, vertebrates from the Triassic, crustaceans from the Cretaceous, and vertebrates from the Pliocene. This volume of "Contributions" was planned by Dr. E. H. Sellards who selected the papersand arranged for publication. The volume constitutes avaluable contribution to the geology of Texas and will be useful in many problems of economic geology.UT Librarie

Segmentation Methods in Biomedical Image Processing

Disertační práce pojednává o moderních metodách a přístupech ke zpracování obrazů, konkrétně k jejich segmentaci, klasifikaci a vyhodnocování parametrů. Jedná se především o zpracování medicínských snímků měkkých tkání pořízených metodou magnetické rezonance (MR) a dále mikroskopických obrazů tkání. Ze segmentovaných obrazů lze jednoduše popsat hranice hledaných objektů. Tyto nalezené hranice mohou sloužit k dalšímu zpracování jako výpočet obvodů, obsahů, povrchů, objemů nebo dokonce k trojrozměrné rekonstrukci zobrazovaného objektu. Popsaná navržená řešení lze použít pro klasifikaci zdravých či postižených tkání snímaných metodami MR či jinými. V disertační práci jsou uvedeny příklady aplikací, ve kterých byly navržené segmentační metody použity. V oblasti segmentace obrazů se práce zaměřuje na metody založené na řešení parciálních diferenciálních rovnic. Jedná se o moderní přístupy zpracování obrazů, zvané též aktivní kontury. Tento přístup ke zpracování obrazů je velmi výhodný u segmentace reálného obrazu, který je zatížený šumem, má neostré hrany a přechody mezi objekty. Výsledkem disertační práce jsou navržené metody pro automatickou segmentaci obrazů a klasifikaci objektů.The PhD thesis deals with modern methods of image processing, especially image segmentation, classification and evaluation of parameters. It is focused primarily on processing medical images of soft tissues obtained by magnetic resonance tomography (MR) and microscopic images of tissues. It is easy to describe edges of the sought objects using of segmented images. The edges found can be useful for further processing of monitored object such as calculating the perimeter, surface and volume evaluation or even three-dimensional shape reconstruction. The proposed solutions can be used for the classification of healthy/unhealthy tissues in MR or other imaging. Application examples of the proposed segmentation methods are shown in this thesis. Research in the area of image segmentation is focused on methods based on solving partial differential equations. This is a modern method for image processing, often called the active contour method. It is of great advantage in the segmentation of real images degraded by noise with fuzzy edges and transitions between objects. The results of the thesis are methods proposed for automatic image segmentation and classification.