An Autonomy Oriented Computing Approach to Image-Component Labeling (CROSBI ID 554933)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Samaržija, Branko ; Ribarić, Slobodan
engleski
An Autonomy Oriented Computing Approach to Image-Component Labeling
This paper presents an Autonomy Oriented Computing (AOC) approach to gray-level image-component labeling. The basic elements of such AOC systems are autonomous entities placed in an environment. The environment, in our case, is viewed as a two-layer 2D lattice containing a gray-level image in the fi rst layer and a notice board at the second layer. The environment serves as the place where autonomous entities reside, roam and operate. The goal of each autonomous entity is to locate and label image pixels belonging to the homogeneous component according to the specifi ed criteria of the region’ s homogeneity. During the image exploration and evaluation the entities rely on their reactive and rational behaviors, such as diffusion, breeding and communication. By communicating, the entities are able to determine distinct components by assigning them different labels. Experiments based on a simulation of the proposed AOC system were run over a set of images from ” blocks world” .
Autonomy Oriented Computing (AOC); Image-component Labeling; Behavior Based Entities
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Podaci o prilogu
182-187.
2009.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis
Zinterhof, P. ; Lončarić, S. ; Uhl, A. ; Carini, A.
Salzburg: University of Salzburg and Faculty of Electrical Engineering and Computing, University of Zagreb
953184134-4
1845-5956
Podaci o skupu
6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009)
predavanje
16.09.2009-18.09.2009
Salzburg, Austrija