Search results
- 1.0563455 - ÚTIA 2023 RIV US eng J - Journal Article
Singh, S. - Singh, H. - Mittal, N. - Singh, H. - Hussien, A.G. - Šroubek, Filip
A feature level image fusion for Night-Vision context enhancement using Arithmetic optimization algorithm based image segmentation.
Expert Systems With Applications. Roč. 209, č. 1 (2022), č. článku 118272. ISSN 0957-4174. E-ISSN 1873-6793
Institutional support: RVO:67985556
Keywords : infrared (IR) * visible image * image fusion * AOA * image segmentation * WLS
OECD category: Robotics and automatic control
Impact factor: 8.5, year: 2022
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2022/ZOI/sroubek-0563455.pdf https://www.sciencedirect.com/science/article/pii/S0957417422014129?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0336403 - 2.0553296 - BC 2022 RIV CH eng J - Journal Article
Perivolioti, T. M. - Tušer, Michal - Terzopoulos, D. - Sgardelis, S.P. - Antoniou, I.
Optimising the workflow for fish detection in DIDSON (Dual-frequency IDentification SONar) data with the use of optical flow and a genetic algorithm.
Water. Roč. 13, č. 9 (2021), č. článku 1304. ISSN 2073-4441. E-ISSN 2073-4441
Institutional support: RVO:60077344
Keywords : acoustic imaging * computer vision * hydroacoustics * fisheries research * image segmentation * image classification * foreground extraction
OECD category: Oceanography
Impact factor: 3.530, year: 2021
Method of publishing: Open access
https://doi.org/10.3390/w13091304
Permanent Link: http://hdl.handle.net/11104/0328271 - 3.0545221 - ÚTIA 2023 RIV US eng J - Journal Article
Mikeš, Stanislav - Haindl, Michal
Texture Segmentation Benchmark.
IEEE Transactions on Pattern Analysis and Machine Intelligence. Roč. 44, č. 9 (2022), s. 5647-5663. ISSN 0162-8828. E-ISSN 1939-3539
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Benchmark * Image segmentation * Texture segmentation * (Un)supervised segmentation * Segmentation criteria * Scale, rotation and illumination invariants
OECD category: Robotics and automatic control
Impact factor: 23.6, year: 2022
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2021/RO/haindl-0545221.pdf https://ieeexplore.ieee.org/document/9416785
Permanent Link: http://hdl.handle.net/11104/0322145 - 4.0533825 - ÚTIA 2021 RIV US eng C - Conference Paper (international conference)
Novozámský, Adam - Vít, D. - Šroubek, Filip - Franc, J. - Krbálek, M. - Bílková, Zuzana - Zitová, Barbara
Automated Object Labeling For CNN-Based Image Segmentation.
2020 IEEE International Conference on Image Processing (ICIP). Piscataway: IEEE, 2020, s. 2036-2040. ISBN 978-1-7281-6396-3. ISSN 1522-4880. E-ISSN 2381-8549.
[2020 IEEE International Conference on Image Processing (ICIP). Abu Dhabi (AE), 25.10.2020-28.10.2020]
R&D Projects: GA ČR GA18-05360S; GA TA ČR(CZ) TN01000024
Grant - others:AV ČR(CZ) AP1701
Program: Akademická prémie - Praemium Academiae
Keywords : CNN * SURF * U-net * automated object labeling * image segmentation
OECD category: Computer hardware and architecture
http://library.utia.cas.cz/separaty/2020/ZOI/novozamsky-0533825.pdf
Permanent Link: http://hdl.handle.net/11104/0312104 - 5.0507004 - ÚPT 2020 RIV CH eng C - Conference Paper (international conference)
Dvořák, Pavel - Menze, B.
Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain Tumor Segmentation.
Lecture Notes in Computer Science. Vol. 9601. Cham: Springer, 2016, s. 59-71. ISBN 978-3-319-42015-8. ISSN 0302-9743.
[International Workshop on Medical Computer Vision. Munich (DE), 09.10.2016-09.10.2016]
R&D Projects: GA ČR GAP102/12/1104; GA MŠMT ED0017/01/01
Institutional support: RVO:68081731
Keywords : brain tumor * clustering * CNN * deep learning * image segmentation * MRI
OECD category: Clinical neurology
Permanent Link: http://hdl.handle.net/11104/0298311 - 6.0465945 - ÚTIA 2017 RIV US eng J - Journal Article
Habart, D. - Švihlík, J. - Schier, Jan - Cahová, M. - Girman, P. - Zacharovová, K. - Berková, Z. - Kříž, J. - Fabryová, E. - Kosinová, L. - Papáčková, Z. - Kybic, J. - Saudek, F.
Automated Analysis of Microscopic Images of Isolated Pancreatic Islets.
Cell Transplantation. Roč. 25, č. 12 (2016), s. 2145-2156. ISSN 0963-6897. E-ISSN 1555-3892
Grant - others:GA ČR(CZ) GA14-10440S
Institutional support: RVO:67985556
Keywords : enumeration of islets * image processing * image segmentation * islet transplantation * machine-learning * quality control
Subject RIV: IN - Informatics, Computer Science
Impact factor: 3.006, year: 2016
http://library.utia.cas.cz/separaty/2016/ZOI/schier-0465945.pdf
Permanent Link: http://hdl.handle.net/11104/0265686 - 7.0460374 - ÚVGZ 2017 RIV CH eng C - Conference Paper (international conference)
Vlachyňská, A. - Červený, Jan - Cmiel, V. - Tureček, T.
Automatic Image-Based Method for Quantitative Analysis of Photosynthetic Cell Cultures.
Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings. Cham: Springer International Publishing, 2016 - (Martínez-Álvarez, F.; Troncoso, A.; Quintián, H.; Corchado, E.), s. 402-103. Lecture Notes in Computer Science, 9648. ISBN 978-3-319-32033-5. ISSN 0302-9743.
[International Conference on Hybrid Artificial Intelligent Systems /11./. Seville (ES), 18.04.2016-20.04.2016]
R&D Projects: GA MŠMT(CZ) LO1415
Institutional support: RVO:67179843
Keywords : automated cell counting * image segmentation * plant cell * suspension cultures * 3D reconstruction * visualization
Subject RIV: EH - Ecology, Behaviour
Permanent Link: http://hdl.handle.net/11104/0260480 - 8.0459179 - ÚTIA 2017 RIV GB eng J - Journal Article
Haindl, Michal - Mikeš, Stanislav
A competition in unsupervised color image segmentation.
Pattern Recognition. Roč. 57, č. 9 (2016), s. 136-151. ISSN 0031-3203. E-ISSN 1873-5142
R&D Projects: GA ČR(CZ) GA14-10911S
Institutional support: RVO:67985556
Keywords : Unsupervised image segmentation * Segmentation contest * Texture analysis
Subject RIV: BD - Theory of Information
Impact factor: 4.582, year: 2016
http://library.utia.cas.cz/separaty/2016/RO/haindl-0459179.pdf
Permanent Link: http://hdl.handle.net/11104/0259701 - 9.0447050 - ÚTIA 2016 RIV CH eng C - Conference Paper (international conference)
Haindl, Michal - Mikeš, Stanislav - Kudo, M.
Unsupervised Surface Reflectance Field Multi-segmenter.
Computer Analysis of Images and Patterns - CAIP 2015. Vol. I. Switzerland: Springer International Publishing, 2015 - (Azzopardi, G.; Petkov, N.), s. 261-273. Lecture Notes in Computer Science, 9256. ISBN 978-3-319-23192-1. ISSN 0302-9743.
[16th International Conference on Computer Analysis of Images and Patterns. Valletta (MT), 02.09.2015-04.09.2015]
R&D Projects: GA ČR(CZ) GA14-10911S
Institutional support: RVO:67985556
Keywords : Unsupervised image segmentation * Textural features * Illumination invariants * Surface reflectance field * Bidirectional texture function
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/separaty/2015/RO/haindl-0447050.pdf
Permanent Link: http://hdl.handle.net/11104/0249426 - 10.0439784 - ÚTIA 2015 CZ cze V - Research Report
Kovář, Bohumil - Schier, Jan - Kuneš, Michal
GenExLib C/C++ knihovna, Referenční příručka.
[GenExLib C/C++ library, Reference Manual.]
Praha: ÚTIA AV ČR, 2014. 34 s. Technical Report.
R&D Projects: GA TA ČR TA01010931
Institutional support: RVO:67985556
Keywords : Image processing * Image segmentation * Fluorescence microscopy * Object detection
Subject RIV: JC - Computer Hardware ; Software
http://library.utia.cas.cz/separaty/2014/ZOI/kovar-0439784.pdf
Permanent Link: http://hdl.handle.net/11104/0243063File Download Size Commentary Version Access 0439784.pdf 0 981 KB Other open-access