A suboptimal algorithm for the reconstruction of multiple 3-D objects from a limited and noisy set of projections is presented. The knowledge about the properties of the objects and the imaging process is embedded in a mathematical probabilistic model, converting the problem into an estimation problem, posed directly in projection space. The proposed hierarchical algorithm, alleviates the computational difficulties, by a massive data reduction in each of its steps. The algorithm may be also applied to general image segmentation or boundary detection problems with multiple, possibly overlapping objects.
|Original language||English (US)|
|Title of host publication||Proceedings - International Conference on Pattern Recognition|
|Number of pages||3|
|State||Published - 1984|
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