Self-referred approach to lacunarity
| dc.contributor.author | Rodrigues, Erbe P | |
| dc.contributor.author | Barbosa, Marconi | |
| dc.contributor.author | da F. Costa, Luciano | |
| dc.date.accessioned | 2015-12-10T21:54:50Z | |
| dc.date.issued | 2005 | |
| dc.date.updated | 2015-12-09T07:29:15Z | |
| dc.description.abstract | This paper describes an approach to lacunarity which adopts the pattern under analysis as the reference for the sliding window procedure. The superiority of such a scheme with respect to more traditional methodologies, especially when dealing with finite-size objects, is established and illustrated through applications to diffusion limited aggregation pattern characterization. It is also shown that, given the enhanced accuracy and sensitivity of this scheme, the shape of the window becomes an important parameter, with advantage for circular windows. | |
| dc.identifier.issn | 1539-3755 | |
| dc.identifier.uri | http://hdl.handle.net/1885/39109 | |
| dc.publisher | American Physical Society | |
| dc.source | Physical Review E-Statistical, Nonlinear and Soft Matter Physics | |
| dc.subject | Keywords: Finite-size objects; Sliding window procedure; Agglomeration; Diffusion; Sensitivity analysis; Lacquers | |
| dc.title | Self-referred approach to lacunarity | |
| dc.type | Journal article | |
| local.bibliographicCitation.issue | 1 | |
| local.bibliographicCitation.lastpage | 6 | |
| local.bibliographicCitation.startpage | 016707 1 | |
| local.contributor.affiliation | Rodrigues, Erbe P, University of Sao Paulo | |
| local.contributor.affiliation | Barbosa, Marconi, College of Medicine, Biology and Environment, ANU | |
| local.contributor.affiliation | da F. Costa, Luciano, University of Sao Paulo | |
| local.contributor.authoruid | Barbosa, Marconi, u1820479 | |
| local.description.embargo | 2037-12-31 | |
| local.description.notes | Imported from ARIES | |
| local.identifier.absfor | 080109 - Pattern Recognition and Data Mining | |
| local.identifier.absfor | 010202 - Biological Mathematics | |
| local.identifier.absfor | 060102 - Bioinformatics | |
| local.identifier.absseo | 970111 - Expanding Knowledge in the Medical and Health Sciences | |
| local.identifier.absseo | 970106 - Expanding Knowledge in the Biological Sciences | |
| local.identifier.ariespublication | u8611701xPUB171 | |
| local.identifier.citationvolume | 72 | |
| local.identifier.doi | 10.1103/PhysRevE.72.016707 | |
| local.identifier.scopusID | 2-s2.0-27244457061 | |
| local.type.status | Published Version |
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