Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Using Grammars for Pattern Recognition in Images: A Systematic Review

Texto completo
Autor(es):
Dias Pedro, Ricardo Wandre [1] ; Nunes, Fatima L. S. [1] ; Machado-Lima, Ariane [1]
Número total de Autores: 3
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Sch Arts Sci & Humanities, BR-03828000 Sao Paulo - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo de Revisão
Fonte: ACM COMPUTING SURVEYS; v. 46, n. 2 NOV 2013.
Citações Web of Science: 4
Resumo

Grammars are widely used to describe string languages such as programming and natural languages and, more recently, biosequences. Moreover, since the 1980s grammars have been used in computer vision and related areas. Some factors accountable for this increasing use regard its relatively simple understanding and its ability to represent some semantic pattern models found in images, both spatially and temporally. The objective of this article is to present an overview regarding the use of syntactic pattern recognition methods in image representations in several applications. To achieve this purpose, we used a systematic review process to investigate the main digital libraries in the area and to document the phases of the study in order to allow the auditing and further investigation. The results indicated that in some of the studies retrieved, manually created grammars were used to comply with a particular purpose. Other studies performed a learning process of the grammatical rules. In addition, this article also points out still unexplored research opportunities in the literature. (AU)

Processo FAPESP: 10/15691-0 - Proposição, implementação e validação de técnicas para treinamento médico virtual interativo
Beneficiário:Fátima de Lourdes dos Santos Nunes Marques
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 11/50761-2 - Modelos e métodos de e-Science para ciências da vida e agrárias
Beneficiário:Roberto Marcondes Cesar Junior
Linha de fomento: Auxílio à Pesquisa - Temático