New artificial life model for image enhancement

• Tipo: Artigo em Revista Científica Internacional
• Data: 2014

Autores

Alex F. de Araujo (Autor) FEUP; Christos E. Constantinou (Autor) Outra; João Manuel R.S. Tavares (Autor) FEUP

Revista

Título: Expert Systems with Applications

Vol. 41 Nº 4

Páginas: 5892-5906

ISSN: 0957-4174

Editora: Elsevier

Indexação

ISI Web of Knowledge - 16 Citações

ISI Web of Science

Scopus - 35 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias

CORDIS: Ciências Tecnológicas

Outras Informações

ID Authenticus: P-009-K4R

DOI: 10.1016/j.eswa.2014.03.029

Abstract (EN): In this work, a method to enhance images based on a new artificial life model is presented. The model is inspired on the behavior of a herbivore organism, when this organism is in a certain environment and selects its food. This organism travels through the image iteratively, selecting the more suitable food and eating parts of it in each iteration. The path that the organism travels through in the image is defined by a priori knowledge about the environment and how it should move in it. Here, we modeled the control and perception centers of the organism, as well as the simulation of its actions and effects on the environment. To demonstrate the efficiency of our method quantitative and qualitative results of the enhancement of synthetic and real images with low contrast and different levels of noise are presented. Obtained results confirm the ability of the new artificial life model for improving the contrast of the objects in the input images.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 15