Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Damjan Strnad"'
Publikováno v:
IEEE Access, Vol 12, Pp 54721-54731 (2024)
A new compact encoding is presented of rasterized bi-level shapes at multiple resolutions. The encoder accepts the Freeman chain code in four directions (F4) at the input, and builds a multi-resolution code named MrCC. The encoding process constructs
Externí odkaz:
https://doaj.org/article/2b287029fd4542989d3070273325ff3c
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:
IEEE Access, Vol 10, Pp 85595-85605 (2022)
In this article we present a hybrid approach to recommending the Universal Decimal Classification (UDC) codes for unclassified documents. By recommending UDC codes to librarians, we can provide the decision support as part of a semi-automatic catalog
Externí odkaz:
https://doaj.org/article/9bca742ca4384b63abf6c30a77c94ae5
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
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2766 (2023)
Woody vegetation landscape features, such as hedges, tree patches, and riparian vegetation, are important elements of landscape and biotic diversity. For the reason that biodiversity loss is one of the major ecological problems in the EU, it is neces
Externí odkaz:
https://doaj.org/article/640e7dacf76b4a7db16ca7fe4d7b9d9b
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:
Data in Brief, Vol 40, Iss , Pp 107806- (2022)
Trees are natural objects, where deviations through the branches amplify geometric data for 3D representation and bring challenges to various applications dealing with 3D models, such as compression, visualization, symmetry detection, and radiative t
Externí odkaz:
https://doaj.org/article/efea9c8e933f4e65b05710a73d99f061
Publikováno v:
Image Analysis and Stereology, Vol 38, Iss 3, Pp 227-235 (2019)
This paper introduces improvements to the algorithm that was proposed in 2001 by Chen and Chen. The algorithm constructs a quadtree directly from Freeman chain code in four directions. We have improved the algorithm in two ways: Firstly, a time effic
Externí odkaz:
https://doaj.org/article/c4c2aa2c29bf4a46b17d1a18e3ba99dc
Autor:
Borut Žalik, Damjan Strnad, Štefan Kohek, Ivana Kolingerová, Andrej Nerat, Niko Lukač, David Podgorelec
Publikováno v:
Symmetry, Vol 14, Iss 5, p 1060 (2022)
A new algorithm is presented for detecting the global reflection symmetry of geometric objects. The algorithm works for 2D and 3D objects which may be open or closed and may or may not contain holes. The algorithm accepts a point cloud obtained by sa
Externí odkaz:
https://doaj.org/article/f017d7122ad74d41bf9960e21c70cf9d
Autor:
Damjan Strnad, Štefan Kohek
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10781 (2021)
Virtual pruning of simulated fruit tree models is a useful functionality provided by software tools for computer-aided horticultural education and research. It also enables algorithmic pruning optimization with respect to a set of quantitative object
Externí odkaz:
https://doaj.org/article/5b6850ee74c64cda94d81d4d6ce74fe9