@inbook {1166, title = {Restoration of blurred binary images using discrete tomography}, booktitle = {Advanced Concepts for Intelligent Vision Systems (ACIVS)}, series = {Lecture Notes in Computer Science}, number = {8192}, year = {2013}, note = {ScopusID: 84890864720doi: 10.1007/978-3-319-02895-8_8}, month = {2013}, pages = {80 - 90}, publisher = {Springer Verlag}, organization = {Springer Verlag}, type = {Conference paper}, address = {Berlin; Heidelberg; New York; London; Paris; Tokyo}, abstract = {

Enhancement of degraded images of binary shapes is an important task in many image processing applications, e.g. to provide appropriate image quality for optical character recognition. Although many image restoration methods can be found in the literature, most of them are developed for grayscale images. In this paper we propose a novel binary image restoration algorithm. As a first step, it restores the projections of the shape using 1-dimensional deconvolution, then reconstructs the image from these projections using a discrete tomography technique. The method does not require any parameter setting or prior knowledge like an estimation of the signal-to-noise ratio. Numerical experiments on a synthetic dataset show that the proposed algorithm is robust to the level of the noise. The efficiency of the method has also been demonstrated on real out-of-focus alphanumeric images.

}, isbn = {978-3-319-02894-1}, doi = { 10.1007/978-3-319-02895-8_8}, author = {Jozsef Nemeth and P{\'e}ter Bal{\'a}zs}, editor = {Jacques Blanc-Talon and Andrzej Kasinski and Wilfried Philips and Dan Popescu and Paul Scheunders} } @inbook {878, title = {3D Parallel Thinning Algorithms Based on Isthmuses}, booktitle = {Advanced Concepts for Intelligent Vision Systems (ACIVS)}, series = {Lecture Notes in Computer Science}, volume = {7517}, year = {2012}, note = {N1 10.1007/978-3-642-33140-4_29}, month = {Sep 2012}, pages = {325 - 335}, publisher = {Springer Verlag}, organization = {Springer Verlag}, type = {Conference Paper}, address = {Brno, Czech Republic}, abstract = {

Thinning is a widely used technique to obtain skeleton-like shape features (i.e., centerlines and medial surfaces) from digital binary objects. Conventional thinning algorithms preserve endpoints to provide important geometric information relative to the object to be represented. An alternative strategy is also proposed that preserves isthmuses (i.e., generalization of curve/surface interior points). In this paper we present ten 3D parallel isthmus-based thinning algorithm variants that are derived from some sufficient conditions for topology preserving reductions.

}, doi = {10.1007/978-3-642-33140-4_29}, url = {http://dx.doi.org/10.1007/978-3-642-33140-4_29}, author = {G{\'a}bor N{\'e}meth and K{\'a}lm{\'a}n Pal{\'a}gyi}, editor = {Jacques Blanc-Talon and Wilfried Philips and Dan Popescu and Paul Scheunders and Pavel Zem{\v c}{\'\i}k} } @inbook {1219, title = {A Multi-Layer {\textquoteright}Gas of Circles{\textquoteright} Markov Random Field Model for the Extraction of Overlapping Near-Circular Objects}, booktitle = {Advances Concepts for Intelligent Vision Systems (ACIVS)}, series = {Lecture Notes in Computer Science}, number = {6915}, year = {2011}, note = {UT: 000306962700016}, month = {Aug 2011}, pages = {171 - 182}, publisher = {Springer-Verlag}, organization = {Springer-Verlag}, type = {Conference paper}, address = {Ghent, Belgium}, abstract = {

We propose a multi-layer binary Markov random field (MRF) model that assigns high probability to object configurations in the image domain consisting of an unknown number of possibly touching or overlapping near-circular objects of approximately a given size. Each layer has an associated binary field that specifies a region corresponding to objects. Overlapping objects are represented by regions in different layers. Within each layer, long-range interactions favor connected components of approximately circular shape, while regions in different layers that overlap are penalized. Used as a prior coupled with a suitable data likelihood, the model can be used for object extraction from images, e.g. cells in biological images or densely-packed tree crowns in remote sensing images. We present a theoretical and experimental analysis of the model, and demonstrate its performance on various synthetic and biomedical images.

}, isbn = {978-3-642-23686-0}, doi = {10.1007/978-3-642-23687-7_16}, url = {http://www.inf.u-szeged.hu/ipcg/publications/Year/2011.complete.xml$\#$Nemeth-etal2011}, author = {Jozsef Nemeth and Zoltan Kato and Ian Jermyn}, editor = {Jacques Blanc-Talon and Wilfried Philips and Dan Popescu and Paul Scheunders and Richard Kleihorst} } @inbook {1333, title = {Projection selection algorithms for discrete tomography}, booktitle = {Advanced Concepts for Intelligent Vision Systems}, year = {2010}, note = {UT: 000287941400037ScopusID: 78650892305doi: 10.1007/978-3-642-17688-3_37}, month = {Dec 2010}, pages = {390 - 401}, publisher = {Springer Verlag}, organization = {Springer Verlag}, type = {Conference paper}, address = {Sydney, Australia }, author = {L{\'a}szl{\'o} G{\'a}bor Varga and P{\'e}ter Bal{\'a}zs and Antal Nagy}, editor = {Jacques Blanc-Talon and Don Bone and Wilfried Philips and Dan Popescu and Paul Scheunders} }