On the Number of Weighted Shortest Paths in the Square Grid

被引:0
作者
Alzboon, Laith [1 ]
Khassawneh, Bashar [1 ]
Nagy, Benedek [1 ]
机构
[1] Eastern Mediterranean Univ, Dept Math, Mersin 10, Famagusta, North Cyprus, Turkey
来源
2017 IEEE 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS (INES) | 2017年
关键词
weighted distance; chamfer distance; shortest path; neighborhood in square grid; Manhattan distance; chessboard distance; combinatorics; networks; metrics; digital geometry; image processing; communication networks; NEIGHBORHOOD SEQUENCES; DISTANCE FUNCTIONS; DIGITAL GEOMETRY; NETWORKS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper the number of shortest paths between two points of the square grid using weighted distances is discussed. We use 8-adjacency square grid, that is, the weighted distance depends on the numbers and the weights of the horizontal, vertical and diagonal steps. Two types of neighborhood, and consequently two weights are used. As special cases, the Manhattan distance and chessboard distance, the two well-known and widely used digital distances of the two dimensional digital space occur. Despite our combinatorial result is theoretical, it is closely connected to applications, e.g., in communication networks. The number of shortest paths plays importance in applications of transmitting messages over networks, since they refer somehow to the width of the connection channel between the given points.
引用
收藏
页码:83 / 90
页数:8
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