连续事件周期序列的密度函数

IF 1.3 4区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Mathematical Imaging and Vision Pub Date : 2023-06-12 DOI:10.1007/s10851-023-01150-1
Olga Anosova, Vitaliy Kurlin
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引用次数: 5

摘要

周期几何研究在扰动下连续的周期点集的等距不变量。动机来自周期性晶体,其结构以刚性形式确定,但由于测量中的小噪声,任何最小的细胞都可能不连续地变化。对于任意整数$$k\ge 0$$ k≥0,周期集合S的密度函数先前被定义为具有可变半径t且在S的所有点为中心的球的所有k倍相交(在最小单元内)的分数体积。本文介绍了由化学元素的原子半径和时间序列中占据不相交区间的连续事件驱动的具有不同初始半径的周期点集的密度函数。这些贡献是对周期区间序列的密度的明确描述。新密度严格地更强,并区分了在零半径情况下具有相同密度的周期序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Density Functions of Periodic Sequences of Continuous Events
Abstract Periodic Geometry studies isometry invariants of periodic point sets that are also continuous under perturbations. The motivations come from periodic crystals whose structures are determined in a rigid form, but any minimal cells can discontinuously change due to small noise in measurements. For any integer $$k\ge 0$$ k 0 , the density function of a periodic set S was previously defined as the fractional volume of all k -fold intersections (within a minimal cell) of balls that have a variable radius t and centers at all points of S . This paper introduces the density functions for periodic sets of points with different initial radii motivated by atomic radii of chemical elements and by continuous events occupying disjoint intervals in time series. The contributions are explicit descriptions of the densities for periodic sequences of intervals. The new densities are strictly stronger and distinguish periodic sequences that have identical densities in the case of zero radii.
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来源期刊
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision 工程技术-计算机:人工智能
CiteScore
4.30
自引率
5.00%
发文量
70
审稿时长
3.3 months
期刊介绍: The Journal of Mathematical Imaging and Vision is a technical journal publishing important new developments in mathematical imaging. The journal publishes research articles, invited papers, and expository articles. Current developments in new image processing hardware, the advent of multisensor data fusion, and rapid advances in vision research have led to an explosive growth in the interdisciplinary field of imaging science. This growth has resulted in the development of highly sophisticated mathematical models and theories. The journal emphasizes the role of mathematics as a rigorous basis for imaging science. This provides a sound alternative to present journals in this area. Contributions are judged on the basis of mathematical content. Articles may be physically speculative but need to be mathematically sound. Emphasis is placed on innovative or established mathematical techniques applied to vision and imaging problems in a novel way, as well as new developments and problems in mathematics arising from these applications. The scope of the journal includes: computational models of vision; imaging algebra and mathematical morphology mathematical methods in reconstruction, compactification, and coding filter theory probabilistic, statistical, geometric, topological, and fractal techniques and models in imaging science inverse optics wave theory. Specific application areas of interest include, but are not limited to: all aspects of image formation and representation medical, biological, industrial, geophysical, astronomical and military imaging image analysis and image understanding parallel and distributed computing computer vision architecture design.
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