中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
EDT Method for Multiple Labelled Objects Subject to Tied Distances

文献类型:期刊论文

作者Andre Marasca2; Andre Backes1; Fabio Favarim2; Marcelo Teixeira2; Dalcimar Casanova2
刊名International Journal of Automation and Computing
出版日期2021
卷号18期号:3页码:468-479
关键词Euclidean distance transform (EDT) multiple-labelled objects tied distances fractal analysis texture analysis
ISSN号1476-8186
DOI10.1007/s11633-021-1285-0
英文摘要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.
源URL[http://ir.ia.ac.cn/handle/173211/44295]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.Federal University of Uberlandia, Uberlandia 38400-902, Brazil
2.Federal University of Technology − Parana, Pato Branco 85503-390, Brazil
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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.

入库方式: OAI收割

来源:自动化研究所

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