@inbook {1119, title = {Image enhancement by median filters in algebraic reconstruction methods: an experimental study}, booktitle = {Advances in Visual Computing}, series = {Lecture Notes in Computer Science}, number = {6455}, year = {2010}, note = {UT: 000290358400035ScopusID: 78650793785doi: 10.1007/978-3-642-17277-9_35}, month = {Nov-Dec 2010}, pages = {339 - 348}, publisher = {Springer Verlag}, organization = {Springer Verlag}, type = {Conference paper}, address = {Las Vegas, NV, USA}, abstract = {

Algebraic methods for image reconstruction provide good solutions even if only few projections are available. However, they can create noisy images if the number of iterations or the computational time is limited. In this paper, we show how to decrease the effect of noise by using median filters during the iterations. We present an extensive study by applying filters of different sizes and in various times of the reconstruction process. Also, our test images are of different structural complexity. Our study concentrates on the ART and its discrete variant DART reconstruction methods.

}, isbn = {978-3-642-17276-2}, doi = {10.1007/978-3-642-17277-9_35}, author = {Norbert Hantos and P{\'e}ter Bal{\'a}zs}, editor = {George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Ronald Chung and Riad Hammound and Muhammad Hussain and Tan Kar-Han and Roger Crawfis and Daniel Thalmann and David Kao and Lisa Avila} } @inbook {1137, title = {Reconstruction of binary images with few disjoint components from two projections}, booktitle = {Advances in Visual Computing}, series = {Lecture Notes in Computer Science}, number = {5359}, year = {2008}, note = {UT: 000262709700114ScopusID: 70149090157doi: 10.1007/978-3-540-89646-3_114}, month = {Dec 2008}, pages = {1147 - 1156}, publisher = {Springer Verlag}, organization = {Springer Verlag}, type = {Conference paper}, address = {Las Vegas, NV, USA}, abstract = {

We present a general framework for reconstructing binary imageswith few disjoint components from the horizontal and vertical projections. We develop a backtracking algorithm that works for binary images having components from an arbitrary class. Thus, a priori information about the components of the image to be reconstructed can be incorporated into the reconstruction process. In addition, we can keep control over the number of components which can increase the speed and accuracy of the reconstruction. Experimental results are also presented. {\textcopyright} 2008 Springer Berlin Heidelberg.

}, isbn = {978-3-540-89645-6}, issn = {0302-9743}, doi = {10.1007/978-3-540-89646-3_114}, author = {P{\'e}ter Bal{\'a}zs}, editor = {George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Paolo Remagnino and Fatih Porikli and J{\"o}rg Peters and James Klosowski and Laura Arns and Yu Ka Chun and Theresa-Marie Rhyne and Laura Monroe} }