E
Elli Angelopoulou
Researcher at University of Erlangen-Nuremberg
Publications - 84
Citations - 3537
Elli Angelopoulou is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Standard illuminant & Multispectral image. The author has an hindex of 27, co-authored 84 publications receiving 3040 citations. Previous affiliations of Elli Angelopoulou include Siemens & Stevens Institute of Technology.
Papers
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Journal ArticleDOI
An Evaluation of Popular Copy-Move Forgery Detection Approaches
TL;DR: This paper created a challenging real-world copy-move dataset, and a software framework for systematic image manipulation, and examined the 15 most prominent feature sets, finding the keypoint-based features Sift and Surf as well as the block-based DCT, DWT, KPCA, PCA, and Zernike features perform very well.
Journal ArticleDOI
An Evaluation of Popular Copy-Move Forgery Detection Approaches
TL;DR: Wang et al. as mentioned in this paper examined the 15 most prominent feature sets and analyzed the detection performance on a per-image basis and on per-pixel basis, and found that the keypoint-based features SIFT and SURF, as well as the block-based DCT, DWT, KPCA, PCA and Zernike features perform very well.
Journal ArticleDOI
Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database
Jan Odstrcilik,Radim Kolar,Attila Budai,Joachim Hornegger,Jiri Jan,Jiri Gazarek,Tomas Kubena,Pavel Cernosek,Ondrej Svoboda,Elli Angelopoulou +9 more
TL;DR: The concept of matched filtering is improved, and the proposed blood vessel segmentation approach is at least comparable with recent state-of-the-art methods, and outperforms most of them with an accuracy of 95% evaluated on the new database.
Journal ArticleDOI
Exposing Digital Image Forgeries by Illumination Color Classification
TL;DR: This paper proposes a forgery detection method that exploits subtle inconsistencies in the color of the illumination of images that is applicable to images containing two or more people and requires no expert interaction for the tampering decision.
Proceedings ArticleDOI
Understanding the color of human skin
TL;DR: In this article, the authors measured the light reflected from the skin using a high resolution, high accuracy spectrograph under precisely calibrated illumination conditions, and provided a biological explanation for the existence of a distinguishing pattern in human skin reflectance.