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Design of an Embedded Position Sensor with Sub-mm Accuracy
Matej Nogić, 2019, master's thesis

Abstract: This master’s thesis presents the development of a machine-vision based localization unit developed at Robert Bosch GmbH, Corporate Sector Research and Advance Engineering in Renningen, Germany. The localization unit was developed primarily for position detection purposes with three degrees of freedom in highly versatile manufacturing systems but has an immense potential to be used anywhere where a precise, low-cost localization method on a two-dimensional surface is required. The complete product development cycle was carried out, from the components selection, schematic and optical system design, to the development of machine vision algorithms, four-layer Printed Circuit Board design and evaluation using an industrial robot. Thanks to the use of a patented two-dimensional code pattern, the localization unit can cover a surface area of 49 km2. The size and speed optimized, self-developed machine-vision algorithms running on a Cortex-M7 microcontroller allow achieving an accuracy of 100 µm and 60 Hz refresh rate.
Keywords: localization, machine-vision, code pattern, image sensor, embedded system
Published: 14.01.2020; Views: 398; Downloads: 0

Vergleich des Images der deutschen Sprache im dritten Bildungsabschnitt an zwei verschiedenen Grundschulen in Prekmurje
Matija Toth, 2019, undergraduate thesis

Abstract: Im Mittelpunkt der Diplomarbeit mit dem Titel ‚‚Vergleich des Images der deutschen Sprache im dritten Bildungsabschnitt an zwei verschiedenen Grundschulen in Prekmurje‘‘ steht das Image der deutschen Sprache bzw. ihr Vergleich an zwei, von Hinsicht des mehrsprachigen Unterrichtes, abgrenzenden Grundschulen in Slowenien. Das Ziel der Untersuchung ist der Vergleich des Images der deutschen Sprache zwischen zwei Befragungsgruppen, die jeweils Schüler der einsprachigen Grundschule in Murska Sobota oder der zweisprachigen Grundschule in Lendava sind und sich im Alter zwischen zwölf und fünfzehn Jahren befinden. Die Forschung fokussiert sich auf die eventuellen Unterschiede zwischen den Sprachimages der zwei untersuchten Gruppen. Im theoretischen Teil wird definiert, was eigentlich unter dem Begriff Image verstanden wird, von welchen Faktoren das Image einer Sprache beeinflusst wird, was die verbreitetsten Mythen über Sprachen sind und welche Rolle die englische Sprache dabei spielt. Im empirischen Teil wird eine Analyse des Fragebogens folgen, das dieses Thema behandelt. An der Umfrage nahmen 149 Schüler des dritten Bildungsabschnittes aus Lendava und 139 aus Murska Sobota teil. Insgesamt wurde der Fragebogen von 278 Schülern ausgefüllt. Der Fragebogen beinhaltet Aufgabenstellungen und Fragen, mit Hilfe dessen man sich ein Bild über das Image des Deutschen, bei den Schülern der jeweiligen Schulen, machen konnte. Von großer Bedeutung war es, die subjektiven Informationen der Individuen zu bekommen, um so zu einem authentischen Resultat der wissenschaftlichen Arbeit zu kommen.
Keywords: Image der deutschen Sprache, mehrsprachiger Unterricht, Vergleich zweier Schulen
Published: 16.10.2019; Views: 533; Downloads: 102
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Estimating the size of plants by using two parallel views
Barbara Videc, Jurij Rakun, 2017, original scientific article

Abstract: This paper presents a method of estimating the size of plants by using two parallel views of the scene, taken by a common digital camera. The approach relays on the principle of similar triangles with the following constraints: the resolution of the camera is known; the object is always in parallel to the camera sensor and the intermediate distance between the two concessive images is available. The approach was first calibrated and tested using one artificial object in a controlled environment. After that real examples were taken from agriculture, where we measured the distance and the size of a vine plant, apple and pear tree. By comparing the calculated values to measured values, we concluded that the average absolute error in distance was 0.11 m or around 3.7 %, and the absolute error in high was 0.09 m or 4.6 %.
Keywords: digital image processing, size, digital camera, pixels, similar triangles
Published: 10.10.2018; Views: 584; Downloads: 235
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Determining the grain size distribution of granular soils using image analysis
Nihat Dipova, 2017, original scientific article

Abstract: Image-processing technology includes storing the images of objects in a computer and processing them with the computer for a specified purpose. Image analysis is the numerical expression of the images of objects by means of mimicking the functioning of the human visual system and the generation of numerical data for calculations that will be made later. Digital image analysis provides the capability for rapid measurement, which can be made in near-real time, for numerous engineering parameters of materials. Recently, image analysis has been used in geotechnical engineering practices. Grain size distribution and grain shape are the most fundamental properties used to interpret the origin and behaviour of soils. Mechanical sieving has some limitations, e.g., it does not measure the axial dimension of a particle, particle shape is not taken into consideration, and especially for elongated and flat particles a sieve analysis will not yield a reliable measure. In this study the grain size distribution of sands has been determined following image-analysis techniques, using simple apparatus, non-professional cameras and open-code software. The sample is put on a transparent plate that is illuminated with a white backlight. The digital images were acquired with a CCD DSLR camera. The segmentation of the particles is achieved by image thresholding, binary coding and particle labeling. The geometrical measurements of each particle are obtained using an automated pixel-counting technique. Local contacts or limited overlaps were overcome using a watershed split. The same sample was tested by traditional sieve analysis. An image-analysis-based grain size distribution has been compared with a sieve-analysis distribution. The results show that the grain size distribution of the image-based analysis and the sieve analysis are in good agreement.
Keywords: image analysis, image processing, grain size, sand
Published: 18.06.2018; Views: 550; Downloads: 65
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An overview of image analysis algorithms for license plate recognition
Khalid Aboura, Rami Al-Hmouz, 2017, original scientific article

Abstract: Background and purpose: We explore the problem of License Plate Recognition (LPR) to highlight a number of algorithms that can be used in image analysis problems. In management support systems using image object recognition, the intelligence resides in the statistical algorithms that can be used in various LPR steps. We describe a number of solutions, from the initial thresholding step to localization and recognition of image elements. The objective of this paper is to present a number of probabilistic approaches in LPR steps, then combine these approaches together in one system. Most LPR approaches used deterministic models that are sensitive to many uncontrolled issues like illumination, distance of vehicles from camera, processing noise etc. The essence of our approaches resides in the statistical algorithms that can accurately localize and recognize license plate. Design/Methodology/Approach: We introduce simple and inexpensive methods to solve relatively important problems, using probabilistic approaches. In these approaches, we describe a number of statistical solutions, from the initial thresholding step to localization and recognition of image elements. In the localization step, we use frequency plate signals from the images which we analyze through the Discrete Fourier Transform. Also, a probabilistic model is adopted in the recognition of plate characters. Finally, we show how to combine results from bilingual license plates like Saudi Arabia plates. Results: The algorithms provide the effectiveness for an ever-prevalent form of vehicles, building and properties management. The result shows the advantage of using the probabilistic approached in all LPR steps. The averaged classification rates when using local dataset reached 79.13%. Conclusion: An improvement of recognition rate can be achieved when there are two source of information especially of license plates that have two independent texts.
Keywords: image analysis, probabilistic modeling, signal processing, license plate recognition
Published: 28.11.2017; Views: 652; Downloads: 280
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The accuracy of the germination rate of seeds based on image processing and artificial neural networks
Uroš Škrubej, Črtomir Rozman, Denis Stajnko, 2015, original scientific article

Abstract: This paper describes a computer vision system based on image processing and machine learning techniques which was implemented for automatic assessment of the tomato seed germination rate. The entire system was built using open source applications Image J, Weka and their public Java classes and linked by our specially developed code. After object detection, we applied artificial neural networks (ANN), which was able to correctly classify 95.44% of germinated seeds of tomato (Solanum lycopersicum L.).
Keywords: image processing, artificial neural networks, seeds, tomato
Published: 14.11.2017; Views: 830; Downloads: 268
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Poslovno komuniciranje
Marko Ferjan, 2017, scientific monograph

Abstract: Človeško telo s svojimi čutili vsako minuto zazna okoli 10.000 senzoričnih zaznav. Zaznave imajo različne pojavne oblike in so: vizualne zaznave, zaznave zvoka, vonja, temperature, okusa, bolečine in prostorskega položaja telesa (ravnotežja). Na osnovi zaznav iz fizičnega sveta v človekovih možganih nastanejo percepcije, kognicije in čustva. Pri sprejemanju in oddajanju sporočil sodeluje človekovo telo kot celota. Knjiga izhaja iz konceptov percepcijske organizacije. Tako, kot pri človekovem komuniciranju sodeluje telo kot celota, je tudi komuniciranje percepcijske organizacije treba obravnavati kot celoto. Vsebina komuniciranja se z vidika organizacije nanaša na vse atribute identitete organizacije. Z vidika okolja pa se nanaša na norme, potrebe, pričakovanja in želje do organizacije. Pojavne oblike komuniciranja organizacije z okoljem so: interpersonalno komuniciranje managementa in zaposlenih z okoljem, komuniciranje organizacije preko spletnih kanalov, marketinško komuniciranje, odnosi z javnostmi, odnosi z vlagatelji, pogajanja, lobiranje in krizno komuniciranje.
Keywords: poslovno komuniciranje, organizacija, image, identiteta, percepcija
Published: 28.09.2017; Views: 2988; Downloads: 1045
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Intelligent system for prediction of mechanical properties of material based on metallographic images
Matej Paulič, David Močnik, Mirko Ficko, Jože Balič, Tomaž Irgolič, Simon Klančnik, 2015, original scientific article

Abstract: This article presents developed intelligent system for prediction of mechanical properties of material based on metallographic images. The system is composed of two modules. The first module of the system is an algorithm for features extraction from metallographic images. The first algorithm reads metallographic image, which was obtained by microscope, followed by image features extraction with developed algorithm and in the end algorithm calculates proportions of the material microstructure. In this research we need to determine proportions of graphite, ferrite and ausferrite from metallographic images as accurately as possible. The second module of the developed system is a system for prediction of mechanical properties of material. Prediction of mechanical properties of material was performed by feed-forward artificial neural network. As inputs into artificial neural network calculated proportions of graphite, ferrite and ausferrite were used, as targets for training mechanical properties of material were used. Training of artificial neural network was performed on quite small database, but with parameters changing we succeeded. Artificial neural network learned to such extent that the error was acceptable. With the oriented neural network we successfully predicted mechanical properties for excluded sample.
Keywords: artificial neural network, factor of phase coherence between the surfaces, fracture toughness, image processing, mechanical properties, metallographic image, ultimate tensile strength, yield strength
Published: 12.07.2017; Views: 740; Downloads: 343
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Marketing mix and tourism destination image
Urška Binter, Marko Ferjan, João Vasco Neves, 2016, original scientific article

Abstract: Background and Purpose: The aim of the research was to find out how business partners from the field of tourism estimate the dimensions of the image of Bled and the marketing mix used to promote Bled. Further on we were interested in evaluating the influence of image and marketing mix on the scope of sales measured in overnights. The following dimensions of image were explored: perceived uniqueness of image as a whole, perceived uniqueness of attractions and experiences, perceived quality of the environment (cleanness), perceived feeling of safety, as well as the dimensions of the marketing mix: perceived quality of products (accommodation, culinary offer, transfers, etc.), perceived price of services, perceived manner of sales for the promotion of Bled, perception of promotional channels, perception of residents (politeness, friendliness, multicultural and religious openness, etc.) and a positive experience of visiting Slovenia. Design/Methodology/Approach: The survey was dispensed among 400 incoming agencies, foreign tour operators, tourist agencies and associations that promote the product of Bled. 235 units were received, 164 of them were completed. The respondents come from 30 countries from all over the world. Results: The findings disclose how service quality, tourist provider competencies and environmental factors are estimated. Safety at Bled has the highest arithmetic mean and the lowest standard deviation. The lowest ranking is linked to traffic and tolerance towards other religions. It is alarming to find the service quality, as the core of tourism business, rated poorly during the main season. Conclusion: Having overviewed the available literature it might be concluded that the analysis can be regarded as the first research of the tourist destination Bled performed in this manner and scope.
Keywords: image, marketing, research, tourism
Published: 04.04.2017; Views: 759; Downloads: 92
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Relationships among store image and store loyalty in Slovenia
Miran Grah, Polona Tominc, 2015, original scientific article

Abstract: Image has become one of the most important factors of stores’ survival and development. In this paper, a model of relationships among the multidimensional variables of store image, positive affect, satisfaction with the store, trust and commitment to the store is formed and tested with a sample of 209 customers in three stores in the Pomurje region of Slovenia. The important conclusion of the research is that several interrelations among store image, positive affect, satisfaction, trust and store commitment exist. The results also show significant gender differences in perceptions of store image. These results provide several important insights for managing supermarkets in the Slovenian market and are also important for future research.
Keywords: store, image, loyalty, satisfaction
Published: 03.04.2017; Views: 544; Downloads: 262
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