1 resultado para Text-Based Image Retrieval
em DigitalCommons - The University of Maine Research
Filtro por publicador
- Academic Archive On-line (Jönköping University; Sweden) (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (7)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (12)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (42)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (31)
- Biodiversity Heritage Library, United States (7)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (41)
- Brock University, Canada (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (17)
- CentAUR: Central Archive University of Reading - UK (46)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (5)
- Cochin University of Science & Technology (CUSAT), India (22)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (20)
- CORA - Cork Open Research Archive - University College Cork - Ireland (6)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (3)
- Digital Archives@Colby (2)
- Digital Commons - Michigan Tech (7)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (27)
- Digital Peer Publishing (2)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (11)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (15)
- DRUM (Digital Repository at the University of Maryland) (6)
- Duke University (2)
- Escola Superior de Educação de Paula Frassinetti (1)
- Glasgow Theses Service (2)
- Greenwich Academic Literature Archive - UK (1)
- Harvard University (15)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (3)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Nacional de Saúde de Portugal (1)
- Instituto Politécnico do Porto, Portugal (15)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
- Massachusetts Institute of Technology (6)
- Memoria Académica - FaHCE, UNLP - Argentina (3)
- National Center for Biotechnology Information - NCBI (9)
- Nottingham eTheses (3)
- Open Access Repository of Indian Theses (1)
- Open University Netherlands (3)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Portal de Revistas Científicas Complutenses - Espanha (3)
- Publishing Network for Geoscientific & Environmental Data (31)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (1)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositorio Academico Digital UANL (1)
- Repositório Científico da Universidade de Évora - Portugal (4)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (31)
- Repositório da Produção Científica e Intelectual da Unicamp (1)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (8)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (32)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (19)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- Scielo Saúde Pública - SP (83)
- Scielo Uruguai (3)
- Universidad de Alicante (6)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (33)
- Universidade Complutense de Madrid (2)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade do Minho (7)
- Universidade dos Açores - Portugal (1)
- Universidade Federal de Uberlândia (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universidade Metodista de São Paulo (1)
- Universitat de Girona, Spain (9)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (5)
- Université de Lausanne, Switzerland (20)
- Université de Montréal (3)
- Université de Montréal, Canada (11)
- Université Laval Mémoires et thèses électroniques (1)
- University of Canberra Research Repository - Australia (2)
- University of Connecticut - USA (1)
- University of Michigan (49)
- University of Queensland eSpace - Australia (39)
- University of Southampton, United Kingdom (4)
- University of Washington (3)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (2)
Resumo:
Firn microstructure is accurately characterized using images obtained from scanning electron microscopy (SEM). Visibly etched grain boundaries within images are used to create a skeleton outline of the microstructure. A pixel-counting utility is applied to the outline to determine grain area. Firn grain sizes calculated using the technique described here are compared to those calculated using the techniques of Cow (1969) and Gay and Weiss (1999) on samples of the same material, and are found to be substantially smaller. The differences in grain size between the techniques are attributed to sampling deficiencies (e.g. the inclusion of pore filler in the grain area) in earlier methods. The new technique offers the advantages of greater accuracy and the ability to determine individual components of the microstructure (grain and pore), which have important applications in ice-core analyses. The new method is validated by calculating activation energies of grain boundary diffusion using predicted values based on the ratio of grain-size measurements between the new and existing techniques. The resulting activation energy falls within the range of values previously reported for firn/ice.