Image reconstruction from a limited number of projections: Detection/estimation of multiple discs with unknown radii

Song Wang, Bede Liu, Sanjeev Kulkarni

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Considers the problem of tomographic image reconstruction from a limited number of noisy projections. Maximum likelihood estimation is used to reconstruct an image of multiple discs with unknown locations and radii. An efficient algorithm is developed to tackle the computation. The algorithm is successfully applied to images containing as many as twelve discs with widely varying radii and with signal-to-noise ratio as low as 0 dB, and the number of projections used is as few as 16. Experimental results show that the approach significantly outperforms the conventional convolution back-projection method.

Original languageEnglish (US)
Article number413476
Pages (from-to)854-858
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume2
DOIs
StatePublished - Jan 1 1994
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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