Irregular adaptative pyramid of agents for segmentation to interpretation of image

Author

Duchesnay, Edouard ; Montois, Jean-Jacques ; Jacquelet, Yann ; Kinie, Abel

Author_Institution

Lab. Traitement du Signal et de l´´Image, Rennes I Univ., France

Volume

3

fYear

2000

fDate

2000

Firstpage

1574

Abstract

The paper presents the main concepts of a machine vision architecture based on a hybrid and a fine granularity multiagent system, that encourages incremental design via modular and hierarchical structuring of knowledge and pattern recognition mechanisms. The objective is not optimality of the image segmentation/interpretation but rather reliability versus unforeseen observation. We then present a first implementation of the architecture that tends to validate the approach and also that shows up a physical distribution of computation

Keywords

adaptive systems; computer vision; image recognition; image segmentation; multi-agent systems; fine granularity multiagent system; hierarchical knowledge structuring; image interpretation; image segmentation; image segmentation/interpretation; incremental design; irregular adaptative agent pyramid; irregular adaptive pyramid; machine vision architecture; pattern recognition mechanisms; reliability; unforeseen observation; Computer architecture; Computer vision; Computerized monitoring; Distributed control; Image segmentation; Machine vision; Merging; Multiagent systems; Pattern recognition; Physics computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 2000 IEEE International Conference on

Conference_Location

Nashville, TN

ISSN

1062-922X

Print_ISBN

0-7803-6583-6

Type

conf

DOI

10.1109/ICSMC.2000.886246

Filename

886246