Tutkijaopettaja Tuomas Eerola

E-mail: Tuomas.Eerola@lut.fi Mobile phone: +358 504042054 URL: http://personal.lut.fi/users/tuomas.eerola/index.shtml ORCID ID: 0000-0003-1352-0999 (Go to ORCID profile) CV: Uploaded on: 24/04/2020

Current Organisation

Computational and Process Engineering (Superior organisation: LUT School of Engineering Science)

Projects as Project Manager

1 of 2

Life in the fast lane: Computer vision and machine learning to unveil biodiversity dynamics and ecosystem responses in the planktonic realm (FASTVISION) (01/09/2019 - 31/08/2021) Funder: Academy of Finland Leap of Digitalisation for Sawmill Industry (01/01/2018 - 31/12/2019) Funder: Tekes Päällekkäisten kohteiden automaattinen segmentointi solukuvien analysoimiseksi (CellVision) (01/01/2018 - 31/12/2019) Funder: Academy of Finland

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Projects as Co-Investigator

Smart technologies for lifecycle perform (01/01/2015 - 30/06/2015) Funder: Tekes

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Publications

5 of 6

From Full-Reference to No-Reference in Quality Assessment of Printed Images (2012) A4 Conference proceedings Eerola Tuomas, Kämäräinen Joni, Lensu Lasse, et al. Adaptive classification of dirt particles in papermaking process (2011) A3 Book section, chapters in research books Strokina Nataliya, Eerola Tuomas, Lensu Lasse, et al. Lecture Notes in Computer Science Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad Saltsjöbad, Sweden, 23-27 May 2011 Bayesian Network Model of Overall Print Quality: Construction and Structural Optimisation (2011) A1 Journal article (refereed), original research Eerola Tuomas, Lensu Lasse, Kämäräinen Joni-Kristian, et al. Pattern Recognition Letters Improving particle segmentation from process images with wiener filtering (2011) A3 Book section, chapters in research books Laaksonen Lauri, Strokina Nataliya, Eerola Tuomas, et al. Lecture Notes in Computer Science Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad Saltsjöbad, Sweden, 23-27 May 2011 Semisynthetic ground truth for dirt particle counting and classification methods (2011) A4 Conference proceedings Strokina Nataliya, Mankki Aki, Eerola Tuomas, et al. IAPR Conference on Machine Vision Applications Thresholding based Detection of Fine and Sparse Details (2011) A1 Journal article (refereed), original research Drobchenko Alexander, Kämäräinen Joni-Kristian, Lensu Lasse, et al. Frontiers of Electrical and Electronic Engineering in China Computational visual quality of digitally printed images (2010) G4 Doctoral dissertation (monograph) Eerola Tuomas Acta Universitatis Lappeenrantaensis Full Reference Printed Image Quality: Measurement Framework and Statistical Evaluation (2010) A1 Journal article (refereed), original research Eerola Tuomas, Kämäräinen Joni-Kristian, Lensu Lasse, et al. Journal of Imaging Science and Technology Fusion of Digital and Visual Print Quality – Final Report of DigiQ Project (2010) B1 Unrefereed journal article Halonen R, Nuutinen M, Oittinen P, et al. Graphic Arts in Finland Framework for Applying Full Reference Digital Image Quality Measures to Printed Images (2009) A3 Book section, chapters in research books Eerola Tuomas, Kämäräinen Joni-Kristian, Lensu Lasse, et al. Lecture Notes in Computer Science Image Analysis: 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009

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Last updated on 2020-24-04 at 05:03