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Color and hyperspectral image segmentation for historical documents

Irina M. Ciortan , Hilda Deborah , Sony George , Jon Yngve Hardeberg
2015 Digital Heritage (Vol. 1), Sep 2015, Granada, Spain. ⟨10.1109/DigitalHeritage.2015.7413872⟩
Communication dans un congrès hal-01295393v1
Image document

Towards Spectral Mathematical Morphology

Hilda Deborah
Image Processing [eess.IV]. Université de Poitiers; Norwegian University of science and technology (Trondheim, Norvège), 2016. English. ⟨NNT : ⟩
Thèse tel-01471226v1

Spectral Impulse Noise Model for Spectral Image Processing

Hilda Deborah , Noël Richard , Jon Yngve Hardeberg
Computational Color Imaging, 9016, pp.171-180, 2015, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-15979-9_17⟩
Chapitre d'ouvrage hal-01295395v1

On the Quality Evaluation of Spectral Image Processing Algorithms

Hilda Deborah , Noël Richard , Jon Yngve Hardeberg
Signal-Image Technology and Internet-Based Systems (SITIS), 2014 Tenth International Conference on, Nov 2014, Marrakech, Morocco. ⟨10.1109/SITIS.2014.50⟩
Communication dans un congrès hal-01295392v1

Toward a full-band texture features for spectral images

Audrey Ledoux , Noël Richard , Anne-Sophie Capelle-Laizé , Hilda Deborah , Christine Fernandez-Maloigne
International Conference on Image Processing (ICIP), Oct 2014, Paris, France
Communication dans un congrès hal-01073666v1

Application of spectral statistics to surface defect detection

Hilda Deborah , Noël Richard , Jon Hardeberg
Fifteenth International Conference on Quality Control by Artificial Vision, May 2019, Mulhouse, France. pp.60, ⟨10.1117/12.2521714⟩
Communication dans un congrès hal-02514336v1

Vector crack detection for cultural heritage paintings

Hilda Deborah , Noël Richard , Jon Yngve Hardeberg
Atelier Traitement et Analyse des Images, Méthodes et Applications (TAIMA), May 2015, Hammamet, Tunisia. ⟨10.13140/RG.2.1.1488.2969⟩
Communication dans un congrès hal-01295397v1

A Comprehensive Evaluation of Spectral Distance Functions and Metrics for Hyperspectral Image Processing

Hilda Deborah , Noël Richard , Jon Yngve Hardeberg
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, ⟨10.1109/JSTARS.2015.2403257⟩
Article dans une revue hal-01295388v1

A metrological spectral difference space for the statistical modelling of hyperspectral images

Hilda Deborah , Noël Richard , Magnus Orn Ulfarsson , Jon Atli Benediktsson , Jon Yngve Hardeberg
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. pp.1104-1107, ⟨10.1109/IGARSS.2019.8898666⟩
Communication dans un congrès hal-02514339v1
Image document

Evaluation of gradient operators for hyperspectral image processing

Hilda Deborah , Noël Richard , Jon Hardeberg , Christine Fernandez-Maloigne
Color and Imaging Conference, Volume 2017, Number 25, Sep 2017, Lillehammer, Norway
Communication dans un congrès hal-02407240v1

Spectral Ordering Assessment Using Spectral Median Filters

Hilda Deborah , Noël Richard , Jon Yngve Hardeberg
Mathematical Morphology and Its Applications to Signal and Image Processing, 9082, pp.387-397, 2015, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-18720-4_33⟩
Chapitre d'ouvrage hal-01295396v1

Hyperspectral crack detection in paintings

Hilda Deborah , Noël Richard , Jon Yngve Hardeberg
Colour and Visual Computing Symposium (CVCS), 2015, Aug 2015, Gjovik, Norway. ⟨10.1109/CVCS.2015.7274902⟩
Communication dans un congrès hal-01295390v1

Pigment Mapping of the Scream (1893) Based on Hyperspectral Imaging

Hilda Deborah , Sony George , Jon Yngve Hardeberg
Image and Signal Processing, 8509, pp.247-256, 2014, Lecture Notes in Computer Science, 978-3-319-07997-4. ⟨10.1007/978-3-319-07998-1_28⟩
Chapitre d'ouvrage hal-01295394v1
Image document

Application of Spectral Statistics to Spectral Texture Discrimination

Hilda Deborah , Noël Richard , Jon Yngve Hardeberg
2018 Colour and Visual Computing Symposium (CVCS), Sep 2018, Gjøvik, Norway. pp.1-6, ⟨10.1109/CVCS.2018.8496628⟩
Communication dans un congrès hal-02407264v1