Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Borut Žalik"'
Publikováno v:
Mathematics, Vol 12, Iss 13, p 1987 (2024)
Feature selection is predominantly used in machine learning tasks, such as classification, regression, and clustering. It selects a subset of features (relevant attributes of data points) from a larger set that contributes as optimally as possible to
Externí odkaz:
https://doaj.org/article/03a5bd3347ad4ef09492637af7051292
Publikováno v:
Symmetry, Vol 16, Iss 4, p 442 (2024)
A new algorithm is presented for detecting the local weak reflection symmetries in raster images. It uses contours extracted from the segmented image. A convex hull is constructed on the contours, and so-called anchor points are placed on it. The bun
Externí odkaz:
https://doaj.org/article/131d34c44c344e06b29c48fe2dd67195
Autor:
Borut Žalik, Damjan Strnad, David Podgorelec, Ivana Kolingerová, Luka Lukač, Niko Lukač, Simon Kolmanič, Krista Rizman Žalik, Štefan Kohek
Publikováno v:
Entropy, Vol 25, Iss 12, p 1591 (2023)
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 arran
Externí odkaz:
https://doaj.org/article/6eea304f0a0b4f3886145ecdf7b9df3f
Publikováno v:
Sensors & Transducers, Vol 256, Iss 2, Pp 12-18 (2022)
The Sentinel satellite constellation series, developed and operated by the European Space Agency, represents a dedicated space component of the European Copernicus Programme, committed to long-term operational services in the environment, climate and
Externí odkaz:
https://doaj.org/article/5bf33908a25944088591f793ea01e056
Publikováno v:
Sensors, Vol 23, Iss 17, p 7426 (2023)
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 differe
Externí odkaz:
https://doaj.org/article/bf308a5dee3145f397aee411a3e37a88
Publikováno v:
Sensors, Vol 23, Iss 14, p 6648 (2023)
Multispectral satellite imagery offers a new perspective for spatial modelling, change detection and land cover classification. The increased demand for accurate classification of geographically diverse regions led to advances in object-based methods
Externí odkaz:
https://doaj.org/article/6881a2c5116a4e0aac635c5ec19fe11c
Autor:
Borut Žalik, Damjan Strnad, David Podgorelec, Ivana Kolingerová, Andrej Nerat, Niko Lukač, Štefan Kohek, Luka Lukač
Publikováno v:
Symmetry, Vol 15, Iss 6, p 1212 (2023)
The characterisation of geometric shapes produces their concise description and is, therefore, important for subsequent analyses, for example in Computer Vision, Machine Learning, or shape matching. A new method for extracting characterisation vector
Externí odkaz:
https://doaj.org/article/4ec94b895ca144439e3869b5dc6d08fd
Autor:
David Podgorelec, Suzana Uran, Andrej Nerat, Božidar Bratina, Sašo Pečnik, Marjan Dimec, Franc Žaberl, Borut Žalik, Riko Šafarič
Publikováno v:
Sensors, Vol 23, Iss 9, p 4305 (2023)
This paper demonstrates the capabilities of three-dimensional (3D) LiDAR scanners in supporting a safe distance maintenance functionality in human–robot collaborative applications. The use of such sensors is severely under-utilised in collaborative
Externí odkaz:
https://doaj.org/article/42c930884b0f47ba870ec12a4bfb6979
Autor:
Borut Žalik, Damjan Strnad, Štefan Kohek, Ivana Kolingerová, Andrej Nerat, Niko Lukač, Bogdan Lipuš, Mitja Žalik, David Podgorelec
Publikováno v:
Entropy, Vol 25, Iss 3, p 533 (2023)
A new approach is proposed for lossless raster image compression employing interpolative coding. A new multifunction prediction scheme is presented first. Then, interpolative coding, which has not been applied frequently for image compression, is exp
Externí odkaz:
https://doaj.org/article/a3ce87b738ab42db93d12a907b6e76ac
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1269 (2023)
Automatic building reconstruction from laser-scanned data remains a challenging research topic due to buildings’ roof complexity and sparse data. A novel automatic building reconstruction methodology, based on half-spaces and a height jump analysis
Externí odkaz:
https://doaj.org/article/85b8f7b8ec044ce9aa9c46bb67b274c8