A graph-based mathematical morphology reader

This survey paper aims at providing a "literary" anthology of mathematical morphology on graphs. It describes in the English language many ideas stemming from a large number of different papers, hence providing a unified view of an active and diverse field of research

SciTech News Volume 71, No. 1 (2017)

Columns and Reports From the Editor 3 Division News Science-Technology Division 5 Chemistry Division 8 Engineering Division Aerospace Section of the Engineering Division 9 Architecture, Building Engineering, Construction and Design Section of the Engineering Division 11 Reviews Sci-Tech Book News Reviews 12 Advertisements IEEE

Návrh a implementace vyhledávacího systému pro data brownfieldů

This diploma thesis describes the development of a software search system for data concerning brownfields and their revitalization methodology. The structure of brownfield data primary consisting of text provided the core aim of the diploma thesis to create a search system focusing on retrieving usable results from text data mainly using full-text search procedures and technologies. Results of the diploma thesis are going to be used by a research group working with brownfield revitalization methodology data. Author of the diploma thesis analyses the requirements of the research group to propose specific solutions and implementation of the full-text search system. The first proposed solution described by the diploma thesis uses Microsoft SQL Server relational database to develop full-text search system capability. Specific implementation procedures, pricing and technology deployment options for this solution are considered and included in the diploma thesis by the author. The second proposed solution by the author uses the Elastic Stack, a set of technologies consisting of Elasticsearch, Kibana and Logstash to develop a full-text search system for brownfield revitalization methodology data. Implementation details, technology deployment options and pricing of Elastic Stack implementation are described as part of the diploma thesis. The author also included in the diploma thesis a comparison of both proposed solutions together with recommendation on their usage with consideration of both current and potential future requirements for the full-text search system usage by the members of the research group, the end-users of given full-text search system.Táto diplomová práca popisuje vývoj softvérového vyhľadávacieho systému pre dáta ohľadom brownfieldov a metodiky ich revitalizácie. Štruktúra dát brownfieldov, ktorá sa skladá primárne z textu poskytla ako základný cieľ pre túto diplomovú prácu vytvorenie vyhľadávacieho systému špecializovaného na získavanie užitočných výsledkov vyhľadávania z textových dát primárne za použitia fulltextových procedúr a technológií. Výsledky diplomovej práce budú použité výskumnou skupinou pracujúcou s dátami ohľadom metodiky revitalizácie brownfieldov. Autor diplomovej práce analyzuje požiadavky výskumnej skupiny aby navrhol špecifické riešenia a implementáciu fulltextového vyhľadávacieho systému. Prvé navrhnuté riešenie popísané diplomovou prácou používa relačnú databázu Microsoft SQL Server na vývoj fulltextového vyhľadávacieho systému. Špecifické implementačné procedúry, náklady a možnosti nasadenia technológie tohto riešenia sú zvážené a zahrnuté v diplomovej práci autorom. Druhé navrhované riešenia autorom používa Elastic Stack, súbor technológií skladajúci sa z aplikácií Elasticsearch, Kibana a Logstash pre vývoj fulltextového vyhľadávacieho systému pre dáta metodiky revitalizácie brownfieldov. Detaily implementácie, možnosti nasadenia technológií a náklady Elastic Stack implementácie sú popísané ako súčasť diplomovej práce. Autor taktiež zahrnul v diplomovej práci porovnanie oboch navrhovaných riešení spoločne s odporúčaním pre ich použitie s ohľadom na súčasné a potencionálne budúce požiadavky použitia vyhľadávacieho systému členmi výskumnej skupiny, teda koncových používateľov daného fulltextového vyhľadávacieho systému.155 - Katedra aplikované informatikyvýborn

3D Object Recognition Based On Constrained 2D Views

The aim of the present work was to build a novel 3D object recognition system capable of classifying man-made and natural objects based on single 2D views. The approach to this problem has been one motivated by recent theories on biological vision and multiresolution analysis. The project's objectives were the implementation of a system that is able to deal with simple 3D scenes and constitutes an engineering solution to the problem of 3D object recognition, allowing the proposed recognition system to operate in a practically acceptable time frame. The developed system takes further the work on automatic classification of marine phytoplank- (ons, carried out at the Centre for Intelligent Systems, University of Plymouth. The thesis discusses the main theoretical issues that prompted the fundamental system design options. The principles and the implementation of the coarse data channels used in the system are described. A new multiresolution representation of 2D views is presented, which provides the classifier module of the system with coarse-coded descriptions of the scale-space distribution of potentially interesting features. A multiresolution analysis-based mechanism is proposed, which directs the system's attention towards potentially salient features. Unsupervised similarity-based feature grouping is introduced, which is used in coarse data channels to yield feature signatures that are not spatially coherent and provide the classifier module with salient descriptions of object views. A simple texture descriptor is described, which is based on properties of a special wavelet transform. The system has been tested on computer-generated and natural image data sets, in conditions where the inter-object similarity was monitored and quantitatively assessed by human subjects, or the analysed objects were very similar and their discrimination constituted a difficult task even for human experts. The validity of the above described approaches has been proven. The studies conducted with various statistical and artificial neural network-based classifiers have shown that the system is able to perform well in all of the above mentioned situations. These investigations also made possible to take further and generalise a number of important conclusions drawn during previous work carried out in the field of 2D shape (plankton) recognition, regarding the behaviour of multiple coarse data channels-based pattern recognition systems and various classifier architectures. The system possesses the ability of dealing with difficult field-collected images of objects and the techniques employed by its component modules make possible its extension to the domain of complex multiple-object 3D scene recognition. The system is expected to find immediate applicability in the field of marine biota classification

Optimal morphological filters

The design of optimal morphological filters, in the binary or gray scale domain, involves a computationally intense search procedure that, in practice, can be intractable. The present work provides a practical method for optimal morphological filter design that is based on the statistical estimation theory and lattice theory. A link is made between optimal morphological filter and the conditional probability distribution. For a given conditional probability distribution a morphological filter may or may not exist. If a morphological filter exists, then the method designs the one that is optimal among morphological and all other filters. If an optimal morphological filter does not exist for the given conditional distribution then, an algorithm called the switching algorithm is used. The switching algorithm is employed to transform the probability distribution in a way such that a optimal morphological filter can be designed for the transformed probability distribution and the final increase in the mean squared error is minimum. The method has been applied on binary and gray-scale image restoration and has proven to be very efficient, in restoring the various different types of degradations considered. The results obtained using the optimal morphological filters are compared against ones obtained by using median filters. Overall the performance of the optimal morphological filters is superior to that of median filters. Computationally the performance of the method is extremely fast and efficient, even in cases where switching was required