1 resultado para image analysis
em Universidade Complutense de Madrid
Filtro por publicador
- Repository Napier (1)
- University of Cagliari UniCA Eprints (1)
- Aberdeen University (2)
- Aberystwyth University Repository - Reino Unido (10)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (14)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (8)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (6)
- Applied Math and Science Education Repository - Washington - USA (1)
- Aquatic Commons (8)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (8)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (21)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (25)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (18)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (13)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (71)
- Boston University Digital Common (2)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (1)
- Cambridge University Engineering Department Publications Database (40)
- CentAUR: Central Archive University of Reading - UK (36)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (19)
- Cochin University of Science & Technology (CUSAT), India (9)
- Collection Of Biostatistics Research Archive (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (4)
- Dalarna University College Electronic Archive (2)
- Digital Commons - Michigan Tech (3)
- Digital Commons at Florida International University (2)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@The Texas Medical Center (7)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (3)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (4)
- Indian Institute of Science - Bangalore - Índia (25)
- Infoteca EMBRAPA (3)
- Instituto Politécnico do Porto, Portugal (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (5)
- Massachusetts Institute of Technology (3)
- National Center for Biotechnology Information - NCBI (3)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (5)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (82)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (52)
- Queensland University of Technology - ePrints Archive (92)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (236)
- SAPIENTIA - Universidade do Algarve - Portugal (6)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (23)
- Universidade Complutense de Madrid (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (3)
- Universitat de Girona, Spain (4)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (4)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (8)
- Université Laval Mémoires et thèses électroniques (1)
- University of Michigan (1)
- University of Queensland eSpace - Australia (4)
- WestminsterResearch - UK (2)
- 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.