1 resultado para Medical image analysis
em Universidade Complutense de Madrid
Filtro por publicador
- Repository Napier (1)
- Aberdeen University (4)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (14)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (12)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (8)
- Applied Math and Science Education Repository - Washington - USA (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (8)
- Aston University Research Archive (24)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (27)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (74)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (67)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CentAUR: Central Archive University of Reading - UK (39)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (5)
- Cochin University of Science & Technology (CUSAT), India (13)
- Collection Of Biostatistics Research Archive (2)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (19)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Dalarna University College Electronic Archive (2)
- Digital Commons - Michigan Tech (3)
- Digital Commons at Florida International University (5)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (8)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (33)
- Duke University (2)
- Instituto Politécnico de Leiria (2)
- Instituto Politécnico do Porto, Portugal (13)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (6)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (6)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
- Massachusetts Institute of Technology (4)
- National Center for Biotechnology Information - NCBI (3)
- Nottingham eTheses (1)
- Portal do Conhecimento - Ministerio do Ensino Superior Ciencia e Inovacao, Cape Verde (1)
- Publishing Network for Geoscientific & Environmental Data (19)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (22)
- Repositório da Produção Científica e Intelectual da Unicamp (4)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (250)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
- Scielo Saúde Pública - SP (61)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (29)
- Universidade Complutense de Madrid (1)
- Universidade do Minho (6)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (6)
- Universitat de Girona, Spain (5)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (69)
- Université de Montréal, Canada (10)
- University of Michigan (3)
- University of Queensland eSpace - Australia (25)
- University of Washington (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
In this paper we discuss some main image processing techniques in order to propose a classification based upon the output these methods provide. Because despite a particular image analysis technique can be supervised or unsupervised, and can allow or not the existence of fuzzy information at some stage, each technique has been usually designed to focus on a specific objective, and their outputs are in fact different according to each objective. Thus, they are in fact different methods. But due to the essential relationship between them they are quite often confused. In particular, this paper pursues a clarification of the differences between image segmentation and edge detection, among other image processing techniques.