Parallel map recognition based on multilayer partitioned blackboard model

Author

Oshitani, Tohru ; Watanabe, Toyohide

Author_Institution

Dept. of Inf. Eng., Nagoya Univ., Japan

Volume

2

fYear

1998

fDate

16-20 Aug 1998

Firstpage

1604

Abstract

Addresses a parallel recognition paradigm to extract road information from urban map images. The main objective is to make clear the applicability between data parallelization and function parallelization in the road extraction process. We introduce the multilayer partitioned blackboard model. This model manages relationships among the corresponding partitioned segments in different layers of the blackboard so as to perform easily the cooperation among different processing procedures. Namely, individually partitioned segments in each layer are applicable to implement the data parallelization, while the relationships between corresponding partitioned segments in different layers support the cooperative control mechanism of function parallelization effectually

Keywords

blackboard architecture; image recognition; parallel architectures; cooperative control mechanism; data parallelization; function parallelization; multilayer partitioned blackboard model; parallel map recognition; road information; urban map images; Concurrent computing; Data mining; Image processing; Image recognition; Image segmentation; Parallel processing; Pattern recognition; Pixel; Process control; Roads;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on

Conference_Location

Brisbane, Qld.

ISSN

1051-4651

Print_ISBN

0-8186-8512-3

Type

conf

DOI

10.1109/ICPR.1998.712021

Filename

712021