1 resultado para Processing image
em Worcester Research and Publications - Worcester Research and Publications - UK
Filtro por publicador
- JISC Information Environment Repository (1)
- Repository Napier (2)
- Aberystwyth University Repository - Reino Unido (2)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (6)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (4)
- Aston University Research Archive (14)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (17)
- Boston University Digital Common (5)
- Brock University, Canada (2)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (11)
- Cambridge University Engineering Department Publications Database (76)
- CentAUR: Central Archive University of Reading - UK (19)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (16)
- Cochin University of Science & Technology (CUSAT), India (10)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- CUNY Academic Works (2)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (39)
- Digital Commons - Michigan Tech (4)
- Digital Commons at Florida International University (6)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (1)
- Duke University (2)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (3)
- Indian Institute of Science - Bangalore - Índia (34)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Politécnico de Bragança (1)
- Massachusetts Institute of Technology (6)
- National Center for Biotechnology Information - NCBI (4)
- Publishing Network for Geoscientific & Environmental Data (3)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (75)
- Queensland University of Technology - ePrints Archive (400)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (42)
- Repositorio Institucional Universidad de Medellín (1)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- Research Open Access Repository of the University of East London. (1)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- Scielo Uruguai (1)
- Universidad de Alicante (8)
- Universidad Politécnica de Madrid (45)
- Universidade Complutense de Madrid (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (4)
- Universitat de Girona, Spain (11)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (2)
- Université Laval Mémoires et thèses électroniques (1)
- University of Canberra Research Repository - Australia (2)
- University of Connecticut - USA (1)
- University of Michigan (13)
- University of Queensland eSpace - Australia (13)
- University of Southampton, United Kingdom (1)
- University of Washington (2)
- WestminsterResearch - UK (6)
- 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.