1 resultado para parallel processing
em Worcester Research and Publications - Worcester Research and Publications - UK
Filtro por publicador
- Abertay Research Collections - Abertay University’s repository (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (5)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Aston University Research Archive (8)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (3)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (59)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (2)
- Biodiversity Heritage Library, United States (6)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (8)
- Boston College Law School, Boston College (BC), United States (1)
- Brock University, Canada (18)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- Bulgarian Digital Mathematics Library at IMI-BAS (5)
- CentAUR: Central Archive University of Reading - UK (30)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (3)
- Cochin University of Science & Technology (CUSAT), India (5)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (69)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (4)
- Department of Computer Science E-Repository - King's College London, Strand, London (3)
- Digital Commons - Michigan Tech (3)
- Digital Commons at Florida International University (5)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (67)
- Galway Mayo Institute of Technology, Ireland (1)
- Greenwich Academic Literature Archive - UK (4)
- Instituto Politécnico do Porto, Portugal (53)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (9)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Martin Luther Universitat Halle Wittenberg, Germany (20)
- National Center for Biotechnology Information - NCBI (6)
- Nottingham eTheses (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (3)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (33)
- Repositório da Produção Científica e Intelectual da Unicamp (4)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (3)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (17)
- Research Open Access Repository of the University of East London. (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (47)
- Scielo Saúde Pública - SP (72)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad de Alicante (3)
- Universidad Politécnica de Madrid (26)
- Universidade do Minho (15)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (9)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (5)
- Université de Lausanne, Switzerland (151)
- Université de Montréal, Canada (25)
- University of Michigan (30)
- University of Queensland eSpace - Australia (79)
- University of Washington (2)
- WestminsterResearch - UK (3)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
Coupled map lattices (CML) can describe many relaxation and optimization algorithms currently used in image processing. We recently introduced the ‘‘plastic‐CML’’ as a paradigm to extract (segment) objects in an image. Here, the image is applied by a set of forces to a metal sheet which is allowed to undergo plastic deformation parallel to the applied forces. In this paper we present an analysis of our ‘‘plastic‐CML’’ in one and two dimensions, deriving the nature and stability of its stationary solutions. We also detail how to use the CML in image processing, how to set the system parameters and present examples of it at work. We conclude that the plastic‐CML is able to segment images with large amounts of noise and large dynamic range of pixel values, and is suitable for a very large scale integration(VLSI) implementation.