EDT Method for Multiple Labelled Objects Subject to Tied Distances

doi:10.1007/s11633-021-1285-0

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	EDT Method for Multiple Labelled Objects Subject to Tied Distances
	Andre Marasca 1; Andre Backes 2; Fabio Favarim 1; Marcelo Teixeira 1; Dalcimar Casanova 1
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2021
卷号	18 期号:3 页码:468-479
摘要	The success of new scientific areas can be assessed by their potential for contributing to new theoretical approaches aligned with real-world applications. The Euclidean distance transform (EDT) has fared well in both cases, providing a sound theoretical basis for a number of applications, such as median axis transform, fractal analysis, skeletonization, and Voronoi diagrams. Despite its wide applicability, the discrete form of the EDT includes interesting properties that have not yet been fully exploited in the literature. In this paper, we are particularly interested in the properties of 1) working with multiple objects/labels; and 2) identifying and counting equidistant pixels/voxels from certain points of interest. In some domains (such as dataset classification, texture, and complexity analysis), the result of applying the EDT transform with different objects, and their respective tied distances, may compromise the performance. In this sense, we propose an efficient modification in the method presented in [1], which leads to a novel approach for computing the distance transform in a space with multiple objects, and for counting equidistant pixels/voxels.
关键词	Euclidean distance transform (EDT) multiple-labelled objects tied distances fractal analysis texture analysis
DOI	10.1007/s11633-021-1285-0
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/44295
专题	学术期刊_Machine Intelligence Research
作者单位	1.Federal University of Technology − Parana, Pato Branco 85503-390, Brazil 2.Federal University of Uberlandia, Uberlandia 38400-902, Brazil
推荐引用方式 GB/T 7714	Andre Marasca,Andre Backes,Fabio Favarim,et al. EDT Method for Multiple Labelled Objects Subject to Tied Distances[J]. International Journal of Automation and Computing,2021,18(3):468-479.
APA	Andre Marasca,Andre Backes,Fabio Favarim,Marcelo Teixeira,&Dalcimar Casanova.(2021).EDT Method for Multiple Labelled Objects Subject to Tied Distances.International Journal of Automation and Computing,18(3),468-479.
MLA	Andre Marasca,et al."EDT Method for Multiple Labelled Objects Subject to Tied Distances".International Journal of Automation and Computing 18.3(2021):468-479.

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