New artificial life model for image enhancement
| Autor: | Alex F. de Araujo, João Manuel R. S. Tavares, Christos E. Constantinou |
|---|---|
| Přispěvatelé: | Faculdade de Engenharia |
| Rok vydání: | 2014 |
| Předmět: |
Herbivore
business.industry Computer science General Engineering Contrast (statistics) Pattern recognition Engineering and technology Technological sciences Engineering and technology Computer Science Applications Image (mathematics) Artificial Intelligence Ciências Tecnológicas Ciências da engenharia e tecnologias Artificial life Path (graph theory) Ciências da engenharia e tecnologias Noise (video) Artificial intelligence business Organism |
| Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 0957-4174 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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