@inbook {1151, title = {Local uncertainty in binary tomographic reconstruction}, booktitle = {Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA 2013)}, year = {2013}, note = {ScopusID: 84876584488doi: 10.2316/P.2013.798-067}, month = {Feb 2013}, pages = {490 - 496}, publisher = {IASTED - Acta Press}, organization = {IASTED - Acta Press}, type = {Conference paper}, address = {Calgary}, abstract = {

We describe a new approach for the uncertainty problem arisingin the field of discrete tomography, when the low number of projections does not hold enough information for an accurate, and reliable reconstruction. In this case the lack of information results in uncertain parts on the reconstructed image which are not determined by the projections and cannot be reliably reconstructed without additional information. We provide a method that can approximate this local uncertainty of reconstructions, and show how each pixel of the reconstructed image is determined by a set of given projections. We also give experimental results for validating our approach.

}, doi = {10.2316/P.2013.798-067}, author = {L{\'a}szl{\'o} G{\'a}bor Varga and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Antal Nagy and P{\'e}ter Bal{\'a}zs}, editor = {Martin Kampel} } @inbook {928, title = {A 3-subiteration surface-thinning algorithm}, booktitle = {Computer Analysis of Images and Patterns}, series = {Lecture Notes in Computer Science}, number = {4673}, year = {2007}, month = {Aug 2007}, pages = {628 - 635}, publisher = {Springer Verlag}, organization = {Springer Verlag}, type = {Conference paper}, address = {Vienna, Austria}, abstract = {

Thinning is an iterative layer by layer erosion for extractingskeleton. This paper presents an efficient parallel 3D thinning algorithm which produces medial surfaces. A three-subiteration strategy is proposed: the thinning operation is changed from iteration to iteration with a period of three according to the three deletion directions. {\textcopyright} Springer-Verlag Berlin Heidelberg 2007.

}, isbn = {978-3-540-74271-5}, issn = {0302-9743}, doi = {10.1007/978-3-540-74272-2_78}, author = {K{\'a}lm{\'a}n Pal{\'a}gyi}, editor = {Walter G Kropatsch and Martin Kampel and Allan Hanbury} } @inbook {1045, title = {Effects of Preprocessing Eye Fundus Images on Appearance Based Glaucoma Classification}, booktitle = {Computer Analysis of Images and Patterns}, series = {Lecture Notes in Computer Science}, number = {4673}, year = {2007}, note = {ScopusID: 38149068236doi: 10.1007/978-3-540-74272-2_21}, month = {Aug 2007}, pages = {165 - 172}, publisher = {Springer Verlag}, organization = {Springer Verlag}, type = {Conference paper}, address = {Berlin; Heidelberg}, abstract = {

Early detection of glaucoma is essential for preventing one ofthe most common causes of blindness. Our research is focused on a novel automated classification system based on image features from fundus photographs which does not depend on structure segmentation or prior expert knowledge. Our new data driven approach that needs no manual assistance achieves an accuracy of detecting glaucomatous retina fundus images compareable to human experts. In this paper, we study image preprocessing methods to provide better input for more reliable automated glaucoma detection. We reduce disease independent variations without removing information that discriminates between images of healthy and glaucomatous eyes. In particular, nonuniform illumination is corrected, blood vessels are inpainted and the region of interest is normalized before feature extraction and subsequent classification. The effect of these steps was evaluated using principal component analysis for dimension reduction and support vector machine as classifier.

}, isbn = {978-3-540-74271-5}, issn = {0302-9743}, doi = {10.1007/978-3-540-74272-2_21}, author = {J{\"o}rg Meier and Rudriger Bock and Georg Michelson and L{\'a}szl{\'o} G{\'a}bor Ny{\'u}l and Joachim Hornegger}, editor = {Walter G Kropatsch and Martin Kampel and Allan Hanbury} } @conference {Horvath07b, title = {A New Phase Field Model of a {\textquoteright}gas of Circles{\textquoteright} for Tree Crown Extraction from Aerial Images}, booktitle = {Proceedings of the International Conference on Computer Analysis of Images and Patterns (CAIP)}, volume = {4673}, year = {2007}, month = {2007}, pages = {702-709}, type = {Conference paper}, address = {Vienna, Austria}, doi = {10.1007/978-3-540-74272-2_87}, author = {Peter Horvath and Ian Jermyn}, editor = {Walter G. Kropatsch and Martin Kampel and Allan Hanbury} }