Novel image enhancement method based on an artificial life model

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Alex F. de Araújo (Author) FEUP; João Manuel R. S.Tavares (Author) FEUP

Conference proceedings International

Title: 10th World Congress on Computational Mechanics (WCCM 2012)

10th World Congress on Computational Mechanics (WCCM 2012) São Paulo, Brazil 8-13 July 2012 ISBN: 978-85-86686-69-6

São Paulo, Brazil, 8-13 July 2012

Scientific classification

FOS: Engineering and technology > Other engineering and technologies

CORDIS: Technological sciences

Other information

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 behaviour 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 1