TY - GEN
T1 - HIERARCHICAL BAYESIAN APPROACH TO RECONSTRUCTION FROM PROJECTIONS OF A MULTIPLE OBJECT 3-D SCENE.
AU - Bresler, Yoram
AU - Macovski, Albert
PY - 1984
Y1 - 1984
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/0021621807
UR - https://www.scopus.com/pages/publications/0021621807#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:0021621807
SN - 0818605456
T3 - Proceedings - International Conference on Pattern Recognition
SP - 455
EP - 457
BT - Proceedings - International Conference on Pattern Recognition
PB - IEEE
ER -