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Paper: Object Detection Using Multi-Resolution Analysis
Volume: 77, Astronomical Data Analysis Software and Systems IV
Page: 260
Authors: Murtagh, F.; Zeilinger, W.; Starck, J.-L.; Bijaoui, A.
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.
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