1. Region segmentation of images based on a raster-scan paradigmLuka Lukač, Andrej Nerat, Damjan Strnad, Štefan Horvat, Borut Žalik, 2024, original scientific article Abstract: This paper introduces a new method for the region segmentation of images. The approach is based on the raster-scan paradigm and builds the segments incrementally. The pixels are processed in the raster-scan order, while the construction of the segments is based on a distance metric in regard to the already segmented pixels in the neighbourhood. The segmentation procedure operates in linear time according to the total number of pixels. The proposed method, named the RSM (raster-scan segmentation method), was tested on selected images from the popular benchmark datasets MS COCO and DIV2K. The experimental results indicate that our method successfully extracts regions with similar pixel values. Furthermore, a comparison with two of the well-known segmentation methods—Watershed and DBSCAN—demonstrates that the proposed approach is superior in regard to efficiency while yielding visually similar results.
Keywords: segment, image analysis, distance metric, Watershed, DBSCAN
Published in DKUM: 05.12.2024; Views: 0; Downloads: 4
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2. Digital twin in sport: from an idea to realizationLuka Lukač, Iztok Fister, Iztok Fister, 2022, original scientific article Abstract: A digital twin is a virtual model to reflect a physical object and helps it by making proper decisions. The decision-making process is based on the same input data that the simulated physical object has access to. Due to exploiting artificial intelligence, the decision-making process of the digital twin is more sophisticated than that of the physical object. In this study, the digital twin is applied to the sports training domain, where it addresses those questions that have arisen during the implementation of interval cycling training sessions. Thus, the digital twin runs on a mobile device (i.e., the Raspberry Pi platform), with which a cycle is equipped and demonstrates user-friendliness, robustness, reliability, and accuracy. The interval training sessions are transferred to the mobile device in the form of the domain-specific language EasyTrain, ensuring higher expressive power and ease of use. During the implementation, the digital twin advises the athlete with predicted information obtained by a sophisticated prediction model via a screen. The results of a huge experimental work showed that the difference in the average efficiency of the interval training implementation between the two cyclists that performed the experiments is prominent, as the efficiency of the professional training surpassed 90%, while the amateur training efficiency barely achieved 70%.
Keywords: digital twin, interval sports training, healthcare, domain-specific language, cycling
Published in DKUM: 23.08.2024; Views: 119; Downloads: 13
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3. Psevdonaključno vnašanje šuma v Freemanove verižne kode : magistrsko deloLuka Lukač, 2024, master's thesis Abstract: V magistrskem delu predstavljamo metodo za psevdonaključno vnašanje šuma v ravninske geometrijske objekte, opisane z osemsmernimi ali s štirismernimi Freemanovimi verižnimi kodami. Na podlagi definiranih akcij vnašamo šum neposredno v simbole verižnih kod na položajih, izbranih z uporabo enega izmed psevdonaključnih generatorjev števil. Zasnova akcij zagotavlja nespremenljivost topoloških značilnosti geometrijskih objektov. Testiranje metode na naboru raznolikih geometrijskih objektov in ovrednotenje vnesenega šuma z uporabo metrike fraktalne dimenzije potrjujeta uspešnost metode ne glede na značilnosti posameznega geometrijskega objekta.
Keywords: algoritem, psevdonaključni generator, 2D-geometrijski objekt, sprememba oblike, fraktalna dimenzija
Published in DKUM: 11.07.2024; Views: 139; Downloads: 107
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4. Geometric Shape Characterisation Based on a Multi-Sweeping ParadigmBorut Žalik, Damjan Strnad, David Podgorelec, Ivana Kolingerová, Andrej Nerat, Niko Lukač, Štefan Kohek, Luka Lukač, 2023, original scientific article Keywords: computer science, image analysis, computational geometry, local reflection symmetry
Published in DKUM: 24.05.2024; Views: 300; Downloads: 23
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5. A new transformation technique for reducing information entropy : a case study on greyscale raster imagesBorut Žalik, Damjan Strnad, David Podgorelec, Ivana Kolingerová, Luka Lukač, Niko Lukač, Simon Kolmanič, Krista Rizman Žalik, Štefan Kohek, 2023, original scientific article Abstract: This paper proposes a new string transformation technique called Move with Interleaving (MwI). Four possible ways of rearranging 2D raster images into 1D sequences of values are applied, including scan-line, left-right, strip-based, and Hilbert arrangements. Experiments on 32 benchmark greyscale raster images of various resolutions demonstrated that the proposed transformation reduces information entropy to a similar extent as the combination of the Burrows–Wheeler transform followed by the Move-To-Front or the Inversion Frequencies. The proposed transformation MwI yields the best result among all the considered transformations when the Hilbert arrangement is applied.
Keywords: computer science, algorithm, string transformation, information entropy, Hilbert space filling curve
Published in DKUM: 22.05.2024; Views: 160; Downloads: 17
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6. Reflection symmetry detection in earth observation dataDavid Podgorelec, Luka Lukač, Borut Žalik, 2023, original scientific article Abstract: The paper presents a new algorithm for reflection symmetry detection, which is specialized to detect maximal symmetric patterns in an Earth observation (EO) dataset. First, we stress the particularities that make symmetry detection in EO data different from detection in other geometric sets. The EO data acquisition cannot provide exact pairs of symmetric elements and, therefore, the approximate symmetry must be addressed, which is accomplished by voxelization. Besides this, the EO data symmetric patterns in the top view usually contain the most useful information for further processing and, thus, it suffices to detect symmetries with vertical symmetry planes. The algorithm first extracts the so-called interesting voxels and then finds symmetric pairs of line segments, separately for each horizontal voxel slice. The results with the same symmetry plane are then merged, first in individual slices and then through all the slices. The detected maximal symmetric patterns represent the so-called partial symmetries, which can be further processed to identify global and local symmetries. LiDAR datasets of six urban and natural attractions in Slovenia of different scales and in different voxel resolutions were analyzed in this paper, demonstrating high detection speed and quality of solutions.
Keywords: computer science, approximate symmetry, partial symmetry, local symmetry, point cloud, voxel, line segment
Published in DKUM: 28.09.2023; Views: 438; Downloads: 37
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7. Aplikacija koncepta digitalnega dvojčka v športu : diplomsko deloLuka Lukač, 2022, undergraduate thesis Abstract: V diplomskem delu predstavljamo aplikacijo koncepta digitalnega dvojčka pri športnih treningih, s čimer omogočimo izvajanje treningov brez fizične prisotnosti osebnega trenerja. Vmesnik med športnikom in digitalnim dvojčkom predstavlja naprava AST-Monitor, ki teče na mobilnem računalniku Raspberry Pi in s senzorji zajema metrike napora treninga ter jih posreduje digitalnemu dvojčku. Digitalni dvojček med intervalnim treningom spremlja športnikov napredek, s pomočjo algoritmov strojnega učenja analizira prejete podatke in športniku v realnem času svetuje, kaj storiti v danem trenutku.
Keywords: digitalni dvojček, šport, trening, AST-Monitor
Published in DKUM: 21.10.2022; Views: 677; Downloads: 129
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