AID-U-Net: An Innovative Deep Convolutional Architecture for Semantic Segmentation of Biomedical Images.

Autor: Tashk, Ashkan¹ (AUTHOR), Herp, Jürgen^1,2 (AUTHOR), Bjørsum-Meyer, Thomas³ (AUTHOR), Koulaouzidis, Anastasios³ (AUTHOR), Nadimi, Esmaeil S.^1,2 (AUTHOR) esi@mmmi.sdu.dk

Publikováno v: Diagnostics (2075-4418). Dec2022, Vol. 12 Issue 12, p2952. 23p.

Wind turbine performance analysis based on multivariate higher order moments and Bayesian classifiers

Autor: Herp, Jürgen, Pedersen, Niels L., Nadimi, Esmaeil S.

Publikováno v: In Control Engineering Practice April 2016 49:204-211

Texture-Based Image Transformations for Improved Deep Learning Classification

Autor: Majtner, Tomas, Bajić, Buda, Herp, Jürgen

Publikováno v: Majtner, T, Bajić, B & Herp, J 2021, Texture-Based Image Transformations for Improved Deep Learning Classification . in J M Tavares, J P Papa & M González Hidalgo (eds), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2021 : 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10–13, 2021, Revised Selected Papers . Springer, Lecture Notes in Computer Science, vol. 12702, pp. 207-216, 25th Iberoamerican Congress, Porto, Portugal, 10/05/2021 . https://doi.org/10.1007/978-3-030-93420-0_20

In this paper, we examine the effect of texture-based image transformation on classification performance. A novel combination of mathematical morphology operations and contrast-limited adaptive histogram equalization is proposed to enhance image text

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3062::d07631369edbd7a0e99ac8df4c623112
https://portal.findresearcher.sdu.dk/da/publications/75d00997-41eb-4020-b415-9bb589024c59

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