Object Detection Using Multi-Resolution Analysis

Author(s)

F. Murtagh, W. Zeilinger, J.-L. Starck, A. Bijaoui

Abstract

What we look for in an image is scale-dependent. Multi-resolution allows

for image analysis in terms of different scales. Scale-space filtering,

quadtrees, pyramid representations, and the wavelet transform have all

been used to yield multi-resolution views of an image. One approach to

the demarcation of significant structure, at different resolutions, is

to determine statistically significant parts of each scale. A

multi-resolution support data structure may be built up in this way. We

can go further and incorporate a priori knowledge into the construction

of this multi-resolution support. Mathematical morphology offers a

convenient framework for removing detector artifacts, objects which are

too small in extent to be of interest, etc. This approach is used for

the detection (and subsequent analysis) of globular cluster systems

around elliptical galaxies, and for image characterization and object

trawling in large image databases.

Organisation(s)

Department of Astrophysics

External organisation(s)

European Southern Observatory (Germany), French Alternative Energies and Atomic Energy Commission (CEA), Université Côte d'Azur

Volume

77

Pages

260

Publication date

1995

Austrian Fields of Science 2012

103003 Astronomy

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