Research interest:
Scientific talks:
Further conference, workshop attendance:
Awards, grants:
Foreign activities:
Membership:
Projects:
Further activities
Scientific publications:
Download the list of my independent citations
Patent, protection:
[1]
Péter Antal Horváth, Péter Attila Balázs, László Gábor Varga:
Equipment for testing tires using x-ray and computed tomography, utility model, registration number: 5222, 2020
Book chapter:
[1]
P. Balázs: Decomposition algorithms for
reconstructing discrete sets with disjoint components, In G.T. Herman, A. Kuba
(Eds.), Advances in Discrete Tomography
and Its Applications, Birkhauser, Boston, pp. 153-173, 2007.
Journal articles:
[1]
P. Balázs, E. Balogh, A. Kuba: Reconstruction of
8-connected but not 4-connected hv-convex
discrete sets, Discrete Applied
Mathematics (Elsevier) 147
149-168 (2005), IF: 0.585
[2]
P. Balázs: A decomposition technique for
reconstructing discrete sets from four projections, Image and Vision Computing (Elsevier) 25:10 1609-1619 (2007), IF: 1.027
[3]
P. Balázs: On the ambiguity of reconstructing hv-convex binary matrices with
decomposable configurations, Acta
Cybernetica 18(3) 367-377 (2008)
[4]
P. Balázs: A framework for generating
some discrete sets with disjoint components by using uniform
distributions, Theoretical
Computer Science (Elsevier) 406 15-23
(2008), IF: 0.806
[5]
P. Balázs: Discrete tomographic
reconstruction of binary images with disjoint components using shape
information,
International Journal of Shape
Modeling
(World Scientific)
14:2 189-207 (2008)
[6]
P. Balázs: A benchmark set for the reconstruction of hv-convex discrete sets, Discrete Applied Mathematics
(Elsevier)
157 3447-3456 (2009), IF: 0.816
[7]
M. Gara, T.S. Tasi, P. Balázs: Learning connectedness and convexity of binary images from their projections, Pure Mathematics and Applications
20:1-2 27-48 (2009)
[8]
L. Varga, P. Balázs, A. Nagy: Projection selection dependency in binary tomography, Acta Cybernetica
20(1) 167-187 (2011)
[9]
L. Varga, P. Balázs, A. Nagy:
Direction-dependency of binary tomographic reconstruction
algorithms, Graphical Models
(Elsevier) 73 365-375 (2011), IF: 1.000
[10]
K.J. Batenburg, W.J. Palenstijn, P. Balázs, J. Sijbers:
Dynamic angle selection in binary tomography,
Computer Vision and Image Understanding
(Elsevier) 117(4) 306-318 (2013), IF: 1.358
[11]
N. Hantos, P. Balázs:
The reconstruction of polyominoes from horizontal and vertical projections
and morphological skeleton is NP-complete,
Fundamenta Informaticae (IOS Press)
125(3-4) 343-359 (2013), IF: 0.479
[12]
P. Balázs:
Complexity results for reconstructing binary images with disjoint
components from horizontal and vertical projections,
Discrete Applied Mathematics (Elsevier) 161
2224-2235 (2013), IF: 0.677
[13]
Z. Ozsvár, P. Balázs:
An empirical study of reconstructing hv-convex
binary matrices from horizontal and vertical projections,
Acta Cybernetica
21 149-163 (2013)
[14]
A. Bogdanov, V. Endrész, Sz. Urbán, I.
Lantos, J. Deák, K. Burián, K. Önder, F. Ayaydin, P. Balázs, Dezso P.
Virók: Application of DNA chip scanning technology for automatic
detection of Chlamydia trachomatis and Chlamydia pneuomoniae inclusions,
Antimicrobal Agents and
Chemotherapy (ASM)
58(1) 405-413 (2014), IF: 4.476
[15]
N. Hantos, P. Balázs:
Random generation of hv-convex polyominoes with given horizontal projection,
Fundamenta Informaticae (IOS Press)
135(1-2) 103-115 (2014), IF: 0.479*
[16]
L.G. Varga, L.G. Nyúl, A. Nagy, P. Balázs:
Local and global uncertainty in binary tomographic reconstruction,
Computer Vision and Image Understanding
(Elsevier) 129 52-62 (2014), IF: 1.54
[17]
L. Varga, P. Balázs, A. Nagy:
Discrete tomographic reconstruction via adaptive weighting of gradient descents,
Computer Methods in Biomechanics and
Biomedical Engineering: Imaging & Visualization (Taylor &
Francis) 3(2) 100-109 (2015)
[18]
N. Hantos, P. Balázs: Eliminating switching components in binary matrices by 0-1 flips
and column permutations, Fundamenta Informaticae (IOS Press) 141(2-3) 135-150 (2015), IF: 0.717
[19]
P. Balázs, Z. Ozsvár, T.S. Tasi, L.G. Nyúl: A measure of directional convexity inspired by binary tomography, Fundamenta Informaticae (IOS Press)
141(2-3) 151-167 (2015), IF: 0.717
[20]
N. Hantos, Sz. Iván, P. Balázs, K. Palágyi:
Binary image reconstruction from a small number of projections and the morphological skeleton,
Annals of Mathematics and Artificial
Intelligence (Springer) 75(1) 195-216 (2015), IF:
0.944
[21]
A. Janovszky, A. Szabó, R. Varga, D. Garab, M. Boros, C. Mester, N. Beretka, T. Zombori, H.P. Wiesmann, R. Bernhardt, I. Ocsovszki, P. Balázs, J. Piffkó:
Periosteal microcirculatory reactions in a zoledronate-induced osteonecrosis model of the jaw in rats,
Clinical Oral Investigations (Springer) 19(6) 1279-1288 (2015), IF: 2.207
[22]
T. Lukic, P. Balázs:
Binary tomography reconstruction based on shape orientation,
Pattern Recognition Letters (Elsevier) 79 18-24 (2016), IF: 1.995
[23]
J. Szűcs, P. Balázs:
Binary image reconstruction using local binary pattern priors,
International Journal of Circuits, Systems and Signal Processing
(NAUN) 11 296-299 (2017)
[24]
G. Lékó, P. Balázs:
Detecting steel cord discontinuities in tire tread x-ray images: A preliminary study,
International
Journal of Circuits, Systems and Signal Processing
(NAUN) 11 314-318 (2017)
[25]
P. Balázs, S. Brunetti:
A q-convexity vector descriptor for image analysis,
Journal of Mathematical Imaging
and Vision (Springer) 61(2) 193-203
(2019), IF: 1.353
[26]
G. Lékó, P. Balázs:
Scale invariance in projection selection using binary tomography,
Fundamenta Informaticae
(IOS Press) 172 129-142 (2020), IF: 1.333
[27]
P. Balázs, S. Brunetti:
A measure of q-convexity for shape analysis,
Journal of Mathematical Imaging
and Vision (Springer) 62 1121-1135
(2020), IF: 1.627
[28]
T. Lukic, P. Balázs:
Shape circularity assisted tomography reconstruction,
Physica Scripta
(IOP Science) 95 105211 (13pp) (2020), IF: 1.985*
[29]
N. Korshunova, J. Jomo, G. Lékó, D. Reznik, P. Balázs, S. Kollmannsberger:
Image-based material characterization of complex microarchitectured additively manufactured structures,
Computers & Mathematics with Applications
(Elsevier) 80(11) 2462-2480 (2020), IF: 3.370*
[30]
T. Lukic, P. Balázs:
Limited-view binary tomography reconstruction assisted by shape centroid,
The Visual Computer
(Springer) 38 695-705 (2022), IF: 2.601*
[31]
J. Szűcs, P. Balázs:
Local q-concavity histograms for binary image classification and reconstruction,
The Visual Computer
(Springer) 38(2) 4221-4234 (2022), IF: 2.601*
[32]
L. Varga, G. Lékó, P. Balázs:
Grayscale uncertainty and errors of tomographic reconstructions based on projection geometries and projection sets,
The Visual Computer
(Springer) 39(4) 1557-1569 (2023), IF: 2.601*
Selected
conference papers:
[1]
P. Balázs, E. Balogh, A. Kuba: A fast algorithm
for reconstructing hv-convex
8-connected but not 4-connected discrete sets, 11th International Conference on Discrete Geometry for
Computer Imagery, Naples, Italy, November 2003, Proceedings, Lecture Notes in
Computer Science (Springer) 2886
388-397 (2003)
[2]
P. Balázs: Reconstruction of decomposable
discrete sets from four projections, 12th
International Conference on Discrete Geometry for Computer Imagery, Poitiers,
France, April 2005, Proceedings, Lecture Notes in Computer Science
(Springer) 3429 104-114 (2005)
[3]
P. Balázs: Reconstruction of discrete sets from
four projections: strong decomposability, Workshop
on Discrete Tomography and Its Applications, New York City, USA, June 2005,
Proceedings, Electronic Notes in Discrete Mathematics (Elsevier) 20 329-345 (2005)
[4]
P. Balázs: The number of line-convex directed
polyominoes having the same orthogonal projections, 13th International Conference on Discrete Geometry for
Computer Imagery, Szeged, Hungary, October 2006, Proceedings, Lecture Notes in
Computer Science (Springer) 4245 77-85 (2006)
[5]
P. Balázs: Generation and empirical
investigation of hv-convex discrete
sets, 15th Scandinavian
Conference on Image Analysis, Aalborg, Denmark, June 2007, Proceedings, Lecture
Notes in Computer Science (Springer) 4522 344-353 (2007)
[6] P. Balázs:
Reconstructing some hv-convex binary
images from three or four projections, Abstracts
of the 5th International Symposium on Image and Signal Processing
and Analysis,
[7]
P. Balázs: On the number of hv-convex discrete
sets, 12th
International Workshop on Combinatorial Image Analysis, Buffalo, USA,
April 2008, Proceedings, Lecture
Notes in Computer Science (Springer) 4958 112-123
(2008)
[8]
P. Balázs, M. Gara: Decision trees in binary tomography for
supporting the reconstruction of hv-convex connected images,
10th International Conference on Advanced Concepts for Intelligent Vision Systems, Juan-les-Pins, France,
October 2008, Proceedings, Lecture
Notes in Computer Science (Springer) 5259 433-443
(2008)
[9]
P. Balázs: Reconstruction of binary images
with few disjoint components from two projections,
4th International Symposium on Visual Computing 2008, Las Vegas, USA,
December 2008, Proceedings, Lecture
Notes in Computer Science (Springer) 5359 1147-1156
(2008)
[10]
P. Balázs, M. Gara: An evolutionary approach for object based image reconstruction using learnt priors, 16th Scandinavian
Conference on Image Analysis, Oslo, Norway, June 2009, Proceedings, Lecture
Notes in Computer Science (Springer) 5575 520-529 (2009)
[11]
P. Balázs: Reconstruction of canonical hv-convex discrete
sets from horizontal and vertical projections, 13th
International Workshop on Combinatorial Image Analysis, Playa del Carmen, Mexico,
November 2009, Proceedings, Lecture
Notes in Computer Science (Springer) 5852 280-288
(2009)
[12]
L. Varga, P. Balázs, A. Nagy: Direction-dependency of a binary tomographic reconstruction
algorithm, 2nd
International Symposium on Computational Modeling of Objects Represented in Images, Buffalo, USA,
May 2010, Proceedings, Lecture
Notes in Computer Science (Springer) 6026 242-253
(2010)
[13]
N. Hantos, P. Balázs: Image enhancement by median filters in algebraic reconstruction methods: an experimental study,
6th International Symposium on Visual Computing, Las Vegas, USA,
November 2010, Proceedings, Lecture
Notes in Computer Science (Springer) 6455 339-348
(2010)
[14]
L. Varga, P. Balázs, A. Nagy: Projection selection algorithms for discrete tomography, 12th
International Conference on Advanced Concepts for Intelligent Vision Systems, Sydney, Australia,
December 2010, Proceedings, Lecture
Notes in Computer Science (Springer) 6474 390-401
(2010)
[15]
T.S. Tasi, M. Hegedus, P. Balázs: Perimeter estimation of some discrete sets from horizontal and vertical projections, 9th
IASTED International Conference on Signal Processing, Pattern Recognition and Applications, Crete, Greece, June 2012, Proceedings, pp. 174-181
(2012)
[16]
P. Balázs, K.J. Batenburg: A central reconstruction based strategy for selecting projection angles in binary tomography, 9th
International Conference on Image Analysis and Recognition, Aveiro, Portugal,
June 2012, Proceedings, Lecture
Notes in Computer Science (Springer) 7325 382-391
(2012)
[17]
M. Gara, T.S. Tasi, P. Balázs: Machine learning as a preprocessing phase in discrete tomography, 1st
International Workshop on Applications of Discrete Geometry and Mathematical Morphology, Istanbul, Turkey,
August 2010, Revised Selected Papers, Lecture
Notes in Computer Science (Springer) 7346 109-124
(2012)
[18]
L. Varga, P. Balázs, A. Nagy: An energy minimization reconstruction algorithm for multivalued discrete tomography, 3rd
International Symposium on Computational Modelling of Objects Represented
in Images, Rome, Italy, September 2012, Proceedings (Taylor &
Francis), pp. 179-185 (2012)
[19]
N. Hantos, P. Balázs, K. Palágyi: Binary
image reconstruction from two projections and skeletal information, 15th
International Workshop on Combinatorial Image Analysis, Austin, TX, USA,
November 2012, Proceedings, Lecture
Notes in Computer Science (Springer) 7655 263-273
(2012)
[20]
L. Varga. L.G. Nyúl, A. Nagy, P. Balázs: Local uncertainty in binary tomographic reconstruction, 10th
IASTED International Conference on Signal Processing, Pattern Recognition and Applications, Innsbruck, Austria, February 2013,
Proceedings, pp. 490-496
(2013)
[21] N. Hantos, P. Balázs:
A uniqueness result for reconstructing hv-convex polyominoes from horizontal and vertical projections and morphological
skeleton, Abstracts
of the 8th International Symposium on Image and Signal Processing
and Analysis,
[22]
J. Németh, P. Balázs: Restoration of blurred binary images using discrete tomography, 15th
International Conference on Advanced Concepts for Intelligent Vision Systems, Poznan, Poland,
October 2013, Proceedings, Lecture
Notes in Computer Science (Springer) 8192 80-90
(2013)
[23]
N. Hantos, P. Balázs: Reconstruction and
enumeration of hv-convex polyominoes with given horizontal projection, 18th
Iberoamerican Congress on Pattern Recognition, Havana, Cuba,
November 2013, Proceedings, Lecture
Notes in Computer Science (Springer) 8258 100-107
(2013)
[24]
T.S. Tasi, L.G. Nyúl, P. Balázs:
Directional convexity measure for binary tomography, 18th
Iberoamerican Congress on Pattern Recognition, Havana, Cuba,
November 2013, Proceedings, Lecture
Notes in Computer Science (Springer) 8259 9-16
(2013)
[25]
N. Hantos, P. Balázs:
Fast heuristics for eliminating switching components in binary matrices by 0-1 flips,
19th
Iberoamerican Congress on Pattern Recognition, Puerto Vallarta, Mexico,
November 2014, Proceedings, Lecture
Notes in Computer Science (Springer) 8827 62-69
(2014)
[26]
N. Hantos, P. Balázs:
A fast algorithm for reconstructing hv-convex binary images from their horizontal projection,
10th
International Symposium on Visual Computing, Las Vegas, USA,
December 2014, Proceedings, Lecture
Notes in Computer Science (Springer) 8888 789-798
(2014)
[27]
P. Balázs, S. Brunetti: A measure of
Q-convexity, 19th International Conference on Discrete Geometry for
Computer Imagery, Nantes, France, April 2016, Proceedings, Lecture Notes in
Computer Science (Springer) 9647
219-230 (2016)
[28]
L. Varga, Z. Ozsvár, P. Balázs: Image enhancement by volume limitation in binary tomography, 12th International Symposium on Visual Computing, Las Vegas, USA, December 2016, Proceedings, Lecture Notes in
Computer Science (Springer) 10072
213-222 (2016)
[29]
S. Brunetti, P. Balázs, P. Bodnár:
Extension of a one-dimensional convexity measure to two dimensions, 18th International Workshop on Combinatorial Image Analysis,
Plovdiv, Bulgaria, June 2017, Proceedings, Lecture Notes in
Computer Science (Springer) 10256
105-116 (2017)
[30]
P. Bodnár, P. Balázs:
An improved directional convexity measure for binary images, 14th International Conference on Image Analysis and
Recognition, Montreal, Canada, July 2017, Proceedings, Lecture Notes in
Computer Science (Springer) 10317
278-285 (2017)
[31]
P. Bodnár, P. Balázs, L.G. Nyúl:
A convexity measure for gray-scale images based on hv-convexity, 19th International Conference on Image Analysis and
Processing, Catania, Italy, September 2017, Proceedings, Lecture Notes
in
Computer Science (Springer) 10484
555-563 (2017)
[32]
P. Balázs, S. Brunetti:
A new shape descriptor based on a Q-convexity measure, 20th International Conference on Discrete Geometry for
Computer Imagery,
Vienna, Austria, September 2017, Proceedings, Lecture Notes
in
Computer Science (Springer) 10502
267-278 (2017)
[33]
P. Bodnár, P. Balázs:
An area-based measure of directional convexity for grayscale images,
6th Thematic Conference on Computational Vision and
Medical Image Processing, Porto, Portugal, October 2017, Proceedings,
Lecture Notes
in Computational Vision and Biomechanics (Springer) 27
131-139 (2017)
[34]
G. Petrovszki, P. Balázs:
A database-driven software framework for industrial data acquisition and
processing,
6th Thematic Conference on Computational Vision and
Medical Image Processing, Porto, Portugal, October 2017, Proceedings,
Lecture Notes
in Computational Vision and Biomechanics (Springer) 27
560-569 (2017)
[35]
G. Lékó, P. Balázs, L.G. Varga:
Projection selection for binary tomographic reconstruction using global uncertainty, 15th International Conference on Image Analysis and Recognition, Povoa de Varzim, Portugal, June 2018, Proceedings,
Lecture
Notes in
Computer Science (Springer) 10882
3-10 (2018)
[36]
J. Szűcs, P. Balázs:
Reconstruction of binary images with fixed number of strips, 15th International Conference on Image Analysis and Recognition, Povoa de Varzim, Portugal, June 2018, Proceedings,
Lecture
Notes in
Computer Science (Springer) 10882
11-19 (2018)
[37]
G. Lékó, P. Balázs: Sequential projection selection methods
for binary tomography, 6th
International Symposium on Computational Modeling of Objects Represented in Images, Cracow, Poland,
July 2018, Proceedings, Lecture
Notes in Computer Science (Springer) 10986 70-81
(2019)
[38]
J. Szűcs, P. Balázs: Variants of simulated annealing for strip
constrained binary tomography, 6th
International Symposium on Computational Modeling of Objects Represented in Images, Cracow, Poland,
July 2018, Proceedings, Lecture
Notes in Computer Science (Springer) 10986 82-92
(2019)
[39]
S. Brunetti, P. Balázs, P. Bodnár, J. Szűcs:
A spatial convexity descriptor for object enlacement, 21th International Conference on Discrete Geometry for Computer Imagery, Marne-la-Vallée, France, March 2019, Proceedings,
Lecture
Notes in
Computer Science (Springer) 11414
330-342 (2019)
[40]
J. Szűcs, P. Balázs: An improved simulated annealing
approach for reconstructing binary images with fixed number of strips, 16th
International Conference on Image Analysis of Recognition, Waterloo, Canada,
August 2019, Proceedings, Lecture
Notes in Computer Science (Springer) 11662 174-185
(2019)
[41]
J. Szűcs, P. Balázs: Binary tomography using variants of
local binary patterns as texture priors, 18th
International Conference on Computer Analysis of Images and Patterns, Salerno, Italy,
September 2019, Proceedings, Lecture
Notes in Computer Science (Springer) 11678 141-154
(2019)
[42]
G. Lékó, Sz. Domány, P. Balázs: Uncertainty based adaptive projection selection strategy for binary
tomographic reconstruction, 18th
International Conference on Computer Analysis of Images and Patterns, Salerno, Italy,
September 2019, Proceedings, Lecture
Notes in Computer Science (Springer) 11679 74-84
(2019)
[43]
L.G. Varga, G. Lékó, P. Balázs:
Grayscale uncertainty of projection geometries and projections sets, 20th International Workshop on Combinatorial Image Analysis,
Novi Sad, Serbia, July 2020, Proceedings, Lecture Notes in
Computer Science (Springer) 12148
123-138 (2020)
[44]
G. Lékó, P. Balázs:
Transmission based adaptive automatic tube voltage selection for computed tomography, 20th International Workshop on Combinatorial Image Analysis,
Novi Sad, Serbia, July 2020, Proceedings, Lecture Notes in
Computer Science (Springer) 12148
199-208 (2020)
[45]
J. Szűcs, P. Balázs:
Local q-convexity histograms for shape analysis, 20th International Workshop on Combinatorial Image Analysis,
Novi Sad, Serbia, July 2020, Proceedings, Lecture Notes in
Computer Science (Springer) 12148
245-257 (2020)
Further
conference papers:
[1] P. Balázs, E.
Balogh, A. Kuba: A fast algorithm for reconstructing hv-convex 8-connected but not 4-connected discrete sets, Volume of Extended Abstracts of the 3rd
Conference of PhD Students in Computer Science, Szeged, Hungary, 1-4 July, 2002,
pp. 19.
[2] P. Balázs, A.
Kuba: Reconstruction of discrete sets from four projections: Decomposable
cases, Volume of Extended Abstracts of
the 4th Conference of PhD Students in Computer Science, Szeged,
Hungary, 1-4 July, 2004, pp. 22.
[3] P. Balázs: On
the ambiguity of reconstructing decomposable hv-convex binary matrices, Volume
of Extended Abstracts of the 5th Conference of PhD Students in
Computer Science, Szeged, Hungary, 27-30 June, 2006, pp. 17.
[4] P. Balázs:
Uniform generation of hv-convex
discrete sets, Abstracts of the 6th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[5] M. Gara, P. Balázs: Determination of geometric features of binary images from their projections by using
decision trees, Volume
of Extended Abstracts of the 6th Conference of PhD Students in
Computer Science, Szeged, Hungary, 2-5 July, 2008, pp. 26.
[6] P. Balázs: Reconstruction of binary images with disjoint components from horizontal and vertical
projections, Abstracts of the 7th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[7] M. Gara, P. Balázs:
Preprocessing in binary tomography based on decision trees, Abstracts of
the 7th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[8] P. Balázs:
Neutron tomography with prior information, Abstracts of
the 5th
Conference on Applied Inverse Problems,
[9] M. Gara, P. Balázs: Binary tomographic reconstruction with an object-based evolutionary algorithm, Volume
of Extended Abstracts of the 7th Conference of PhD Students in
Computer Science, Szeged, Hungary, 29 June - 2 July, 2010, pp. 31.
[10] N. Hantos, P. Balázs: Median filtering in algebraic reconstruction methods, Volume
of Extended Abstracts of the 7th Conference of PhD Students in
Computer Science, Szeged, Hungary, 29 June - 2 July, 2010, pp. 36.
[11] T.S. Tasi, P. Balázs: Obtaining geometrical properties of binary images from two projections using
neural networks, Volume
of Extended Abstracts of the 7th Conference of PhD Students in
Computer Science, Szeged, Hungary, 29 June - 2 July, 2010, pp. 69.
[12] L. Varga, P. Balázs, A. Nagy: Object Rotation effects on binary tomographic reconstruction, Volume
of Extended Abstracts of the 7th Conference of PhD Students in
Computer Science, Szeged, Hungary, 29 June - 2 July, 2010, pp. 76.
[13] P. Balázs, M. Gara, T.S. Tasi: Machine learning for supporting binary
tomographic reconstruction, Proceedings of the Workshop on Applications of Discrete Geometry in Mathematical Morphology,
Istanbul, Turkey, 22 August, 2010, pp. 101-105.
[14]
L.
Varga, P. Balázs, A. Nagy:
Projection direction dependency in binary tomography, Abstracts of the 8th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[15]
N.
Hantos, P. Balázs:
Median filtering in algebraic reconstruction methods, Abstracts of the 8th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[16]
M. Gara,
P. Balázs:
Binary tomographic reconstruction with an object-based evolutionary
algorithm, Abstracts of the 8th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[17]
M. Gara,
P. Balázs:
Artificial intelligence methods in discrete tomography,
Volume
of Extended Abstracts of the 8th Conference of PhD Students in
Computer Science, Szeged, Hungary, 28-30 June, 2012, pp.
16.
[18]
N.
Hantos, P. Balázs, K. Palágyi:
Binary tomography using two projections and morphological skeleton,
Volume
of Extended Abstracts of the 8th Conference of PhD Students in
Computer Science, Szeged, Hungary, 28-30 June, 2012, pp.
20.
[19]
Z. Ozsvár, P. Balázs:
Empirical studies of reconstructing hv-convex binary matrices from horizontal and vertical projections, Volume
of Extended Abstracts of the 8th Conference of PhD Students in
Computer Science, Szeged, Hungary, 28-30 June, 2012, pp.
44.
[20]
T.S.
Tasi, P. Balázs:
Extracting geometrical features of discrete images from their projections,
Volume
of Extended Abstracts of the 8th Conference of PhD Students in
Computer Science, Szeged, Hungary, 28-30 June, 2012, pp.
52.
[21]
L.
Varga, A. Nagy, P. Balázs:
A novel optimization-based reconstruction algorithm for multivalued
discrete tomography,
Volume
of Extended Abstracts of the 8th Conference of PhD Students in
Computer Science, Szeged, Hungary, 28-30 June, 2012, pp.
57.
[22] A. Bogdanov, Sz. Urbán, V. Endrész, K. Burián, P. Balázs, J. Deák, D. Virók:
Automatic counting of chlamydial inclusions using a fluorescent DNA chip scanner,
Abstracts of the 11th István Cserháti Memorial Meeting for Young Researchers, Szeged, Hungary, 23-24 November, 2012,
pp. 37. (in Hungarian)
[23] L. Varga, P. Balázs, A. Nagy:
An optimization-based reconstruction algorithm for multivalued discrete tomography,
Program and Abstracts of the 5th Veszprém Optimization Conference: Advanced Algorithms VOCAL 2012, Veszprém, Hungary,
11-14 December, 2012,
pp. 39.
[24] N. Hantos, P. Balázs, K. Palágyi:
Solving binary tomography from morphological skeleton via optimization,
Program and Abstracts of the 5th Veszprém Optimization Conference: Advanced Algorithms VOCAL 2012, Veszprém,
Hungary, 11-14 December, 2012,
pp. 42.
[25] N.
Hantos, P. Balázs, K. Palágyi: Reconstruction of binary images from two
projections and morphological skeleton,
Abstracts of the 9th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[26] Z. Ozsvár, P. Balázs:
A comparison of heuristics for reconstructing hv-convex binary matrices from horizontal and vertical projections, Abstracts of the 9th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[27] L. Varga, P. Balázs, A. Nagy:
Discrete tomography by automatic weighting of gradient descents,
Abstracts of the 9th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[28] I. Lantos, A. Bogdanov, V. Endrész, Sz. Urbán, J. Deák, K. Burián, K. Önder, P. Balázs, D.P. Virók, Application of DNA chip scanning technology for the automatic detection of chlamydia trachomatis and chlamydia pneumoniae inclusions, Acta Microbiologica et Immunologica Hungarica (Akadémiai Kiadó) 60(Suppl.1) pp. 173-174 (2013)
[29]
N.
Hantos, P. Balázs:
Eliminating switching components in binary matrices, Volume
of Extended Abstracts of the 9th Conference of PhD Students in
Computer Science, Szeged, Hungary, 30 June - 2 July, 2014, pp.
21.
[30]
Z.
Ozsvár, P. Balázs:
Reconstruction of hv-convex binary matrices from horizontal and
vertical projections based on simulated annealing, Volume
of Extended Abstracts of the 9th Conference of PhD Students
in
Computer Science, Szeged, Hungary, 30 June - 2 July, 2014, pp.
50.
[31]
N.
Hantos, P. Balázs:
Polynominal time heuristics for eliminating switching components via 0-1
flips,
Abstracts of the 10th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[32]
Gy.
Kalmár, P. Balázs:
A low-cost, intelligent, mobile-based home surveillance system,
Abstracts of the 10th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[33] D. Paróczai, Z. Molnár, P. Balázs, D.P. Virók, Android smartphone application for the automatic counting of bacterial colonies, Acta Microbiologica et Immunologica Hungarica (Akadémiai Kiadó) 62(Suppl) pp. 196 (2015)
[34] Gy. Kalmár, P. Balázs:
Home surveillance system based on modern technologies,
Proceedings of the HTE MediaNet
2015 Conference Student Section,
[35] A. Nagy, A. Tanács, P. Balázs, L.
Varga, Sz. Urbán, A. Palkó, E. Szabó, A. Csomor:
Segmentation of multiparametric MR images in neck region,
Program and Abstracts of the 28. Congress of
Association of Hungarian
Radiologists,
[36]
P.
Balázs, G. Lékó, Z. Ozsvár, G. Petrovszki, J. Szűcs, L. Varga:
Design and implementation of the informatical system of a 3D industrial CT scanner,
Abstracts of the 11th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[37] T. Lukic, P. Balázs:
Binary tomography method based on shape orientation,
Abstracts of the 11th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[38] J. Szűcs, P. Balázs:
Binary image reconstruction based on structural information,
Abstracts of the 4th Winter School of PhD Students in
Informatics and Mathematics,
[39] P. Balázs, S. Harizanov:
2D CT data reconstruction from radiographic images,
generated by scanners with static 1D detectors,
Extended Abstracts of the
12th Annual Meeting of the Bulgarian Section of SIAM,
[40] G. Lékó, P. Balázs, L.G. Varga:
Projection selection using uncertainty in binary tomogrpahy,
Abstracts of the 5th Winter School of PhD Students in
Informatics and Mathematics,
[41] J. Szűcs, P. Balázs:
Binary image reconstruction with strip constraints,
Abstracts of the 5th Winter School of PhD Students in
Informatics and Mathematics,
[42]
G.
Lékó, P. Balázs, L.G. Varga:
Projection selection with sequential selection methods using different evaluation measures, Volume
of Short Papers of the 11th Conference of PhD Students
in
Computer Science, Szeged, Hungary, 25-27 June, 2018, pp.
79.
[43]
J. Szűcs, P. Balázs:
Strip constrained binary tomography, Volume
of Short Papers of the 11th Conference of PhD Students
in
Computer Science, Szeged, Hungary, 25-27 June, 2018, pp.
96.
[44]
G. Lékó, P. Balázs:
Sequential projection selection methods for binary tomography, Proceedings of the International Multi-Conference on Computational Science (CS 2018), Cracow, Poland, 2-5 July, 2018, pp.
71.
[45]
J. Szűcs, P. Balázs:
Variants of simulated annealing for strip constrained binary tomography, Proceedings of the International Multi-Conference on Computational Science (CS 2018), Cracow, Poland, 2-5 July, 2018, pp.
72.
[46]
G.
Lékó, P. Balázs, L. Varga: Sequential projection selection methods
and global uncertainty in projection selection,
Abstracts of the 12th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[47]
J.
Szűcs, P. Balázs: Binary reconstruction with nonogram-like priors,
Abstracts of the 12th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[48]
P.
Bodnár,
P. Balázs, L. Nyúl: Improved directional convexity
measure for binary images,
Abstracts of the 12th
Conference of the Hungarian Association of Image Processing and Pattern
Recognition,
[49] J. Szűcs, P. Balázs:
Binary image reconstruction based on texture priors,
Abstracts of the 6th Winter School of PhD Students in
Informatics and Mathematics,
[50] P. Balázs:
Descriptors of Q-convexity: Theory and applications (part 2),
Shape Analysis: Euclidean, Discrete and Algebraic Geometry Methods (Dagstuhl Seminar 18422), Dagstuhl Reports 8(10),
2019, pp. 91-92.
[51] J. Szűcs, P. Balázs:
A q-convexity based local shape descriptor,
Abstracts of the 7th Winter School of PhD Students in
Informatics and Mathematics,