TY - CHAP T1 - Image enhancement by median filters in algebraic reconstruction methods: an experimental study T2 - Advances in Visual Computing Y1 - 2010 A1 - Norbert Hantos A1 - Péter Balázs ED - George Bebis ED - Richard Boyle ED - Bahram Parvin ED - Darko Koracin ED - Ronald Chung ED - Riad Hammound ED - Muhammad Hussain ED - Tan Kar-Han ED - Roger Crawfis ED - Daniel Thalmann ED - David Kao ED - Lisa Avila AB -

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.

 

JF - Advances in Visual Computing T3 - Lecture Notes in Computer Science PB - Springer Verlag CY - Las Vegas, NV, USA SN - 978-3-642-17276-2 N1 - UT: 000290358400035ScopusID: 78650793785doi: 10.1007/978-3-642-17277-9_35 JO - LNCS ER - TY - CHAP T1 - Reconstruction of binary images with few disjoint components from two projections T2 - Advances in Visual Computing Y1 - 2008 A1 - Péter Balázs ED - George Bebis ED - Richard Boyle ED - Bahram Parvin ED - Darko Koracin ED - Paolo Remagnino ED - Fatih Porikli ED - Jörg Peters ED - James Klosowski ED - Laura Arns ED - Yu Ka Chun ED - Theresa-Marie Rhyne ED - Laura Monroe AB -

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. © 2008 Springer Berlin Heidelberg.

JF - Advances in Visual Computing T3 - Lecture Notes in Computer Science PB - Springer Verlag CY - Las Vegas, NV, USA SN - 978-3-540-89645-6 N1 - UT: 000262709700114ScopusID: 70149090157doi: 10.1007/978-3-540-89646-3_114 JO - LNCS ER -