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An Autonomy Oriented Computing Approach to Image-Component Labeling


Samaržija, Branko; Ribarić, Slobodan
An Autonomy Oriented Computing Approach to Image-Component Labeling // Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis / Zinterhof, P. ; Lončarić, S. ; Uhl, A. ; Carini, A. (ur.).
Salzburg: University of Salzburg and Faculty of Electrical Engineering and Computing, University of Zagreb, 2009. str. 182-187 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
An Autonomy Oriented Computing Approach to Image-Component Labeling

Autori
Samaržija, Branko ; Ribarić, Slobodan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
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, 2009, 182-187

ISBN
953184134-4

Skup
6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009)

Mjesto i datum
Salzburg, Austrija, 16-18.09.2009

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Autonomy Oriented Computing (AOC); Image-component Labeling; Behavior Based Entities

Sažetak
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” .

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
036-0361935-1954 - Teorija, modeliranje i uporaba autonomno orijentiranih računarskih struktura (Slobodan Ribarić, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Citiraj ovu publikaciju

Samaržija, Branko; Ribarić, Slobodan
An Autonomy Oriented Computing Approach to Image-Component Labeling // Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis / Zinterhof, P. ; Lončarić, S. ; Uhl, A. ; Carini, A. (ur.).
Salzburg: University of Salzburg and Faculty of Electrical Engineering and Computing, University of Zagreb, 2009. str. 182-187 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Samaržija, B. & Ribarić, S. (2009) An Autonomy Oriented Computing Approach to Image-Component Labeling. U: Zinterhof, P., Lončarić, S., Uhl, A. & Carini, A. (ur.)Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis.
@article{article, year = {2009}, pages = {182-187}, keywords = {Autonomy Oriented Computing (AOC), Image-component Labeling, Behavior Based Entities}, isbn = {953184134-4}, title = {An Autonomy Oriented Computing Approach to Image-Component Labeling}, keyword = {Autonomy Oriented Computing (AOC), Image-component Labeling, Behavior Based Entities}, publisher = {University of Salzburg and Faculty of Electrical Engineering and Computing, University of Zagreb}, publisherplace = {Salzburg, Austrija} }