| Segmentation of overlapping elliptical objects in silhouette images S Zafari, T Eerola, J Sampo, H Kälviäinen, H Haario IEEE Transactions on Image Processing 24 (12), 5942-5952, 2015 | 121 | 2015 |
| Framework for modeling visual printed image quality from the paper perspective P Oittinen, R Halonen, A Kokkonen, T Leisti, G Nyman, T Eerola, L Lensu, ... Image Quality and System Performance V 6808, 193-204, 2008 | 57 | 2008 |
| Siamese network based pelage pattern matching for ringed seal re-identification E Nepovinnykh, T Eerola, H Kalviainen Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 52 | 2020 |
| Comparison of bubble detectors and size distribution estimators J Ilonen, R Juránek, T Eerola, L Lensu, M Dubská, P Zemčík, H Kälviäinen Pattern Recognition Letters 101, 60-66, 2018 | 48 | 2018 |
| Segmentation of partially overlapping nanoparticles using concave points S Zafari, T Eerola, J Sampo, H Kälviäinen, H Haario Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las …, 2015 | 48 | 2015 |
| Automatic individual identification of Saimaa ringed seals T Chehrsimin, T Eerola, M Koivuniemi, M Auttila, R Levänen, M Niemi, ... IET Computer Vision 12 (2), 146-152, 2018 | 44 | 2018 |
| Segmentation of saimaa ringed seals for identification purposes A Zhelezniakov, T Eerola, M Koivuniemi, M Auttila, R Levänen, M Niemi, ... Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las …, 2015 | 39 | 2015 |
| Identification of Saimaa ringed seal individuals using transfer learning E Nepovinnykh, T Eerola, H Kälviäinen, G Radchenko Advanced Concepts for Intelligent Vision Systems: 19th International …, 2018 | 38 | 2018 |
| Detection of bubbles as concentric circular arrangements N Strokina, J Matas, T Eerola, L Lensu, H Kälviäinen Machine Vision and Applications 27, 387-396, 2016 | 36 | 2016 |
| SealID: Saimaa ringed seal re-identification dataset E Nepovinnykh, T Eerola, V Biard, P Mutka, M Niemi, M Kunnasranta, ... Sensors 22 (19), 7602, 2022 | 30 | 2022 |
| Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks K Kraft, O Velhonoja, T Eerola, S Suikkanen, T Tamminen, L Haraguchi, ... Frontiers in Marine Science 9, 867695, 2022 | 24 | 2022 |
| Thresholding-based detection of fine and sparse details A Drobchenko, JK Kamarainen, L Lensu, J Vartiainen, H Kälviäinen, ... Frontiers of Electrical and Electronic Engineering in China 6, 328-338, 2011 | 24 | 2011 |
| Full reference printed image quality: Measurement framework and statistical evaluation T Eerola, L Lensu, H Kalviainen, JK Kamarainen, T Leisti, G Nyman, ... Journal of Imaging Science and Technology 54 (1), 10201-1-10201-13, 2010 | 24 | 2010 |
| Bayesian network model of overall print quality: construction and structural optimisation T Eerola, L Lensu, JK Kamarainen, T Leisti, R Ritala, G Nyman, ... Pattern recognition letters 32 (11), 1558-1566, 2011 | 20 | 2011 |
| Comparison of concave point detection methods for overlapping convex objects segmentation S Zafari, T Eerola, J Sampo, H Kälviäinen, H Haario Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017 | 19 | 2017 |
| Framework for applying full reference digital image quality measures to printed images T Eerola, JK Kämäräinen, L Lensu, H Kälviäinen Image Analysis: 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June …, 2009 | 19 | 2009 |
| Fish detection from low visibility underwater videos V Shevchenko, T Eerola, A Kaarna 2018 24th International Conference on Pattern Recognition (ICPR), 1971-1976, 2018 | 18 | 2018 |
| Determination of single droplet sizes, velocities and concentrations with image analysis for reactive extraction of copper J Tamminen, E Lahdenperä, T Koiranen, T Kuronen, T Eerola, L Lensu, ... Chemical Engineering Science 167, 54-65, 2017 | 18 | 2017 |
| Segmentation of partially overlapping convex objects using branch and bound algorithm S Zafari, T Eerola, J Sampo, H Kälviäinen, H Haario Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017 | 18 | 2017 |
| Resolving overlapping convex objects in silhouette images by concavity analysis and Gaussian process S Zafari, M Murashkina, T Eerola, J Sampo, H Kälviäinen, H Haario Journal of Visual Communication and Image Representation 73, 102962, 2020 | 16 | 2020 |
Heikki KälviäinenProfessor of Computer Science and Engineering, Lappeenranta-Lahti University of Technology (LUT)Verified email at lut.fi
