A parallel implementation on CM5 of a multi-spectral cooperative segmentation

Author

Bonnin, P. ; Maurette, C. ; Hoelzener-Douarin, B. ; Pissaloux, E.

Author_Institution

Univ. de Paris-Nord, Villetaneuse, France

Volume

2

fYear

1995

fDate

19-21 Apr 1995

Firstpage

867

Abstract

The paper focuses on the problem of the multi-spectral image segmentation, which leads-through the data fusion of several mono-spectral images-to reliable and robust vision systems for military or industrial purposes. The proposed approach does not fit the classical taxonomy of image data fusion methods: indeed, data fusion is performed during the segmentation, in parallel, of different images. The presented algorithm has been implemented on the Connection Machine CM5 with the data programming style

Keywords

computer vision; cooperative systems; image segmentation; parallel algorithms; parallel machines; parallel programming; sensor fusion; CM5; Connection Machine; algorithm; data fusion; data programming style; industrial applications; military applications; mono-spectral images; multi-spectral cooperative segmentation; parallel implementation; vision systems; Computer vision; Data mining; Defense industry; Image edge detection; Image segmentation; Machine vision; Multispectral imaging; Pixel; Redundancy; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Algorithms and Architectures for Parallel Processing, 1995. ICAPP 95. IEEE First ICA/sup 3/PP., IEEE First International Conference on

Conference_Location

Brisbane, Qld.

Print_ISBN

0-7803-2018-2

Type

conf

DOI

10.1109/ICAPP.1995.472280

Filename

472280