Non-square grids: A new trend in imaging and modeling?

The raster format of images and data is commonly intended as a synonymous of a square grid. Indeed, the square is not the only shape that can tessellate the plane. Other grids are well-known, and recently they have moved out of the fields of art and mathematics, and have started being of interest for technological applications. After introducing the main types of non-square grids, this paper presents experiences of practical uses of non-square grids, especially the hexagonal one, in various fields, including digital imaging, geographic systems, and their applications in sciences like medicine, environmental monitoring, etc. We conclude with considerations on the state of the art and perspectives for the future. In our opinion, the research is mature enough to prefigure a broader diffusion of some non-square grids, especially the hexagonal one. • We provide a survey on the use of non-square grids for practical applications. • Such grids, especially hexagonal ones, are gaining interest and diffusion. • In imaging, the theory is well established but lacks supporting hardware. • In geography, hexagonal discrete global grids are successfully used.

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Publication Details

Journal
Computer Science Review
Published
2024-12-04
DOI
https://doi.org/10.1016/j.cosrev.2024.100695
Citations
3
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
0.75
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article

Non-square grids: A new trend in imaging and modeling?

Paola Magillo
3 citations
Computer Science Review
Medical Image Segmentation Techniques
0.75
article

Non-square grids: A new trend in imaging and modeling?

Paola Magillo
article en
3 citations

Abstract

The raster format of images and data is commonly intended as a synonymous of a square grid. Indeed, the square is not the only shape that can tessellate the plane. Other grids are well-known, and recently they have moved out of the fields of art and mathematics, and have started being of interest for technological applications. After introducing the main types of non-square grids, this paper presents experiences of practical uses of non-square grids, especially the hexagonal one, in various fields, including digital imaging, geographic systems, and their applications in sciences like medicine, environmental monitoring, etc. We conclude with considerations on the state of the art and perspectives for the future. In our opinion, the research is mature enough to prefigure a broader diffusion of some non-square grids, especially the hexagonal one. • We provide a survey on the use of non-square grids for practical applications. • Such grids, especially hexagonal ones, are gaining interest and diffusion. • In imaging, the theory is well established but lacks supporting hardware. • In geography, hexagonal discrete global grids are successfully used.

Computer Science ReviewVol. 56
Istituto Nazionale di Fisica Nucleare, Sezione di Genova (IT), University of Genoa (IT)
Sustainable cities and communities
Openalex Percentile: Top 26%
Medical Image Segmentation Techniques
0.75
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