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Pregled bibliografske jedinice broj: 407588

Autonomy Oriented Computing Applied in Color-based Image Segmentation


Ribarić, Slobodan; Samaržija, Branko
Autonomy Oriented Computing Applied in Color-based Image Segmentation // Proceedings of the 17th International Electrotechnical and Computer Science Conference ERK 2008 ; Vol. B / Zajc, Baldomir ; Trost, Andrej (ur.).
Ljubljana, Slovenija: IEEE Region 8, Slovenska sekcija IEEE, 2008. str. 7-10 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Autonomy Oriented Computing Applied in Color-based Image Segmentation

Autori
Ribarić, Slobodan ; Samaržija, Branko

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

Izvornik
Proceedings of the 17th International Electrotechnical and Computer Science Conference ERK 2008 ; Vol. B / Zajc, Baldomir ; Trost, Andrej - Ljubljana, Slovenija : IEEE Region 8, Slovenska sekcija IEEE, 2008, 7-10

Skup
International Electrotechnical and Computer Science Conference ERK 2008

Mjesto i datum
Portorož, Slovenija, 29-01.10.2008

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Autonomy Oriented Computing (AOC); Color-based Image Segmentation; Autonomous entities

Sažetak
This paper presents an Autonomy Oriented Computing (AOC) approach to color image segmentation. Basic elements in AOC systems are an environment and autonomous entities. Environment, in our case, consists of the three layer 2D lattice which contains color images in RGB and HSI color spaces as well as storage cells through which entities interchange information. Environment serves as the place where autonomous entities roam and operate. Entities exhibit a number of reactive behaviors such as diffusing, self-reproduction, waiting or dying. Goal of each entity is to locate and label image pixels whose color satisfies skin-like criteria. Entities which are successful in locating such pixels have an opportunity to produce offspring entities and place them within their neighborhood, where they are most likely to find other skin color-like pixels. The entities that don’ t succeed in locating any skin color like pixel vanish from the system when their ages exceed their lifespan. Results of all entity families are combined into regions. Experiments, based on a program simulator, were run over set of frontal face images from the XM2VTS database.

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

Ribarić, Slobodan; Samaržija, Branko
Autonomy Oriented Computing Applied in Color-based Image Segmentation // Proceedings of the 17th International Electrotechnical and Computer Science Conference ERK 2008 ; Vol. B / Zajc, Baldomir ; Trost, Andrej (ur.).
Ljubljana, Slovenija: IEEE Region 8, Slovenska sekcija IEEE, 2008. str. 7-10 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Ribarić, S. & Samaržija, B. (2008) Autonomy Oriented Computing Applied in Color-based Image Segmentation. U: Zajc, B. & Trost, A. (ur.)Proceedings of the 17th International Electrotechnical and Computer Science Conference ERK 2008 ; Vol. B.
@article{article, year = {2008}, pages = {7-10}, keywords = {Autonomy Oriented Computing (AOC), Color-based Image Segmentation, Autonomous entities}, title = {Autonomy Oriented Computing Applied in Color-based Image Segmentation}, keyword = {Autonomy Oriented Computing (AOC), Color-based Image Segmentation, Autonomous entities}, publisher = {IEEE Region 8, Slovenska sekcija IEEE}, publisherplace = {Portoro\v{z}, Slovenija} }