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On reconstructing curved object boundaries from sparse sets of X-ray images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (1995) 905 385-391
DOI: 10.1007/978-3-540-49197-2_48
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Abstract

We propose a hybrid method using both geometric and intensity information to reconstruct multiple curved object boundaries from sparse sets of X-ray images. We have implementated this approach and present several examples on real and synthetic data.

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Sullivan, S., Noble, A., & Ponce, J. (1995). On reconstructing curved object boundaries from sparse sets of X-ray images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 905, pp. 385–391). Springer Verlag. https://doi.org/10.1007/978-3-540-49197-2_48

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