Nicolas VANDENBROUCKE

PR

Equipe : IMAP

ORCID : 0000-0002-7766-4898

Domaine de recherche

Thématiques de recherche / Research interests

Représentation d’images couleur / Color image representation,
Sélection d’espace couleur pour la segmentation d’images / Color space selection for color image segmentation,
Sélection d’attributs de texture couleur pour la classification d’images / Color texture feature selection for image classification,
Descripteurs de texture couleur et hyperspectrale pour la reconnaissance des formes / Color and hyperspectral texture descriptors for pattern recognition.

Mots clés / Keywords

Représentation de la texture et de la couleur / Color and texture representation, Imagerie couleur et hyperspectrale / color and hypespectral imaging, Réduction de la dimension par sélection d’attributs / dimensionality reduction by feature selection, Classification de textures / texture classification, Segmentation d’images / image segmentation, Applications en vision industrielle / machine vision applications, Imagerie biomédicale / Biomedical Imaging.

Nicolas VANDENBROUCKE

An Order and Difference Local Binary Pattern for Hyperspectral Texture Classification

Adam El Bergui, Alice Porebski, Nicolas Vandenbroucke. An Order and Difference Local Binary Pattern for Hyperspectral Texture Classification. Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA 2023), Oct 2023, Paris, France. ⟨10.1109/IPTA59101.2023.10320002⟩. ⟨hal-04350126⟩ Voir la fiche HAL

A New Remote Hyperspectral Imaging System Embedded on an Unmanned Aquatic Drone for the Detection and Identification of Floating Plastic Litter Using Machine Learning

Ahed Alboody, Nicolas Vandenbroucke, Alice Porebski, Rosa Sawan, Florence Viudes, et al.. A New Remote Hyperspectral Imaging System Embedded on an Unmanned Aquatic Drone for the Detection and Identification of Floating Plastic Litter Using Machine Learning. Remote Sensing, 2023, 15 (14), pp.3455. ⟨10.3390/rs15143455⟩. ⟨hal-04157245⟩ Voir la fiche HAL

Evaluation of two automatic image-processing approaches for oligoclonal band detection: an expert system and a deep learning model

Farah Haddad, Samuel Boudet, Laurent Peyrodie, Nicolas Vandenbroucke, Julien Poupart, et al.. Evaluation of two automatic image-processing approaches for oligoclonal band detection: an expert system and a deep learning model. 38th Congress of the European Committee for Treatment and Research in Multiple Sclerosis – ECTRIMS 2022, Oct 2022, Amsterdam, Netherlands. Multiple Sclerosis Journal, 28 (3S), pp.130-691, 2022, ⟨10.1177/13524585221123687⟩. ⟨hal-03981544⟩ Voir la fiche HAL

Comparison of color imaging vs. hyperspectral imaging for texture classification

Alice Porebski, Mohamed Alimoussa, Nicolas Vandenbroucke. Comparison of color imaging vs. hyperspectral imaging for texture classification. Pattern Recognition Letters, 2022, 161, pp.115-121. ⟨10.1016/j.patrec.2022.08.001⟩. ⟨hal-03766412⟩ Voir la fiche HAL

Compact Hybrid Multi-Color Space Descriptor Using Clustering-Based Feature Selection for Texture Classification

Mohamed Alimoussa, Alice Porebski, Nicolas Vandenbroucke, Sanaa El Fkihi, Rachid Oulad Haj Thami. Compact Hybrid Multi-Color Space Descriptor Using Clustering-Based Feature Selection for Texture Classification. Journal of Imaging, 2022, 8 (8), pp.217. ⟨10.3390/jimaging8080217⟩. ⟨hal-03766407⟩ Voir la fiche HAL

Oligoclonal Band Straightening Based on Optimized Hierarchical Warping for Multiple Sclerosis Diagnosis

Farah Haddad, Samuel Boudet, Laurent Peyrodie, Nicolas Vandenbroucke, Julien Poupart, et al.. Oligoclonal Band Straightening Based on Optimized Hierarchical Warping for Multiple Sclerosis Diagnosis. Sensors, 2022, 22 (3), pp.724. ⟨10.3390/s22030724⟩. ⟨hal-03533749⟩ Voir la fiche HAL

Clustering-based Sequential Feature Selection Approach for High Dimensional Data Classification

Mohamed Alimoussa, Alice Porebski, Nicolas Vandenbroucke, Rachid Oulad Haj Thami, Sanaa El Fkihi. Clustering-based Sequential Feature Selection Approach for High Dimensional Data Classification. 16th International Conference on Computer Vision Theory and Applications (VISAPP), Feb 2021, Online Streaming, France. pp.122-132, ⟨10.5220/0010259501220132⟩. ⟨hal-03145466⟩ Voir la fiche HAL

Multi Color Channel vs. Multi Spectral Band Representations for Texture Classification

Nicolas Vandenbroucke, Alice Porebski. Multi Color Channel vs. Multi Spectral Band Representations for Texture Classification. 25 th International Conference on Pattern Recognition, ICPR 2021, Jan 2021, (Virtual) Milano, Italy. pp.310-324, ⟨10.1007/978-3-030-68790-8_25⟩. ⟨hal-03150845⟩ Voir la fiche HAL

A Feature Clustering-Based Sequential Selection Approach for Color Texture Classification

Mohamed Alimoussa, Alice Porebski, Nicolas Vandenbroucke, Rachid Oulad Haj Thami, Sanaa El Fkihi. A Feature Clustering-Based Sequential Selection Approach for Color Texture Classification. International Conference on Machine Learning Methods for Computer Vision Applications (ICMLMCVA 2020), Dec 2020, Amsterdam, Netherlands. ⟨hal-03157257⟩ Voir la fiche HAL

Combination of LBP Bin and Histogram Selections for Color Texture Classification

Alice Porebski, Vinh Truong Hoang, Nicolas Vandenbroucke, Denis Hamad. Combination of LBP Bin and Histogram Selections for Color Texture Classification. Journal of Imaging, 2020, 6 (6), pp.53. ⟨10.3390/jimaging6060053⟩. ⟨hal-03031173⟩ Voir la fiche HAL

Toward an automatic tool for oligoclonal band detection in cerebrospinal fluid and tears for multiple sclerosis diagnosis: lane segmentation based on a ribbon univariate open active contour

Farah Haddad, Samuel Boudet, Laurent Peyrodie, Nicolas Vandenbroucke, Patrick Hautecoeur, et al.. Toward an automatic tool for oligoclonal band detection in cerebrospinal fluid and tears for multiple sclerosis diagnosis: lane segmentation based on a ribbon univariate open active contour. Medical and Biological Engineering and Computing, 2020, 58 (5), pp.967-976. ⟨10.1007/s11517-020-02141-9⟩. ⟨hal-03110487⟩ Voir la fiche HAL

Compact Color Texture Representation by Feature Selection in Multiple Color Spaces

M. Alimoussa, Nicolas Vandenbroucke, Alice Porebski, R. Thami, S. El Fkihi, et al.. Compact Color Texture Representation by Feature Selection in Multiple Color Spaces. VISAPP 2019 : 14th International Conference on Computer Vision Theory and Applications, Feb 2019, Prague, Czech Republic. pp.436-443, ⟨10.5220/0007578704360443⟩. ⟨hal-03031984⟩ Voir la fiche HAL

Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification

Mariam Kalakech, Alice Porebski, Nicolas Vandenbroucke, Denis Hamad. Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification. Journal of Imaging, 2018, 4 (10), pp.112. ⟨10.3390/jimaging4100112⟩. ⟨hal-03031171⟩ Voir la fiche HAL

Multi-color space local binary pattern-based feature selection for texture classification

Alice Porebski, Vinh Truong Hoang, Nicolas Vandenbroucke, Denis Hamad. Multi-color space local binary pattern-based feature selection for texture classification. Journal of Electronic Imaging, 2018, 27 (1), pp.011010. ⟨10.1117/1.JEI.27.1.011010⟩. ⟨hal-03032039⟩ Voir la fiche HAL

LBP Histogram Selection based on Sparse Representation for Color Texture Classification

Vinh Truong Hoang, Alice Porebski, Nicolas Vandenbroucke, Denis Hamad. LBP Histogram Selection based on Sparse Representation for Color Texture Classification. VISAPP 2017 : 12th International Conference on Computer Vision Theory and Applications, Feb 2017, Porto, Portugal. pp.476-483, ⟨10.5220/0006128204760483⟩. ⟨hal-03032041⟩ Voir la fiche HAL

LBP parameter tuning for texture analysis of lace images

Vinh Truong Hoang, Alice Porebski, Nicolas Vandenbroucke, Denis Hamad. LBP parameter tuning for texture analysis of lace images. 2016 International Image Processing, Applications and Systems (IPAS), Nov 2016, SFAX, Tunisia. pp.1-6, ⟨10.1109/IPAS.2016.7880063⟩. ⟨hal-03031140⟩ Voir la fiche HAL

A new LBP histogram selection score for color texture classification

Mariam Kalakech, Alice Porebski, Nicolas Vandenbroucke, Denis Hamad. A new LBP histogram selection score for color texture classification. 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2015, Orleans, France. pp.242-247, ⟨10.1109/IPTA.2015.7367138⟩. ⟨hal-03031129⟩ Voir la fiche HAL

A fast embedded selection approach for color texture classification using degraded LBP

Alice Porebski, Nicolas Vandenbroucke, Denis Hamad. A fast embedded selection approach for color texture classification using degraded LBP. 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2015, Orleans, France. pp.254-259, ⟨10.1109/IPTA.2015.7367140⟩. ⟨hal-03031132⟩ Voir la fiche HAL

Unsupervised color-image segmentation by multicolor space iterative pixel classification

Nicolas Vandenbroucke, Laurent Busin, Ludovic Macaire. Unsupervised color-image segmentation by multicolor space iterative pixel classification. Journal of Electronic Imaging, 2015, 24 (2), pp.023032. ⟨10.1117/1.JEI.24.2.023032⟩. ⟨hal-01145224⟩ Voir la fiche HAL

Système de vision industrielle

Nicolas Vandenbroucke. Système de vision industrielle. Techniques de l'Ingénieur, 2015, pp.Réf : S7799 v1. ⟨hal-03157352⟩ Voir la fiche HAL

Contribution des descripteurs de texture LBP à la classification d'images de dentelles

Wael Bensoltana, Alice Porebski, Nicolas Vandenbroucke, Adeel Ahmad, Denis Hamad. Contribution des descripteurs de texture LBP à la classification d'images de dentelles. 17ème édition du colloque CORESA (Compression et Représentation des Signaux Audiovisuels), Image, Groupement de recherche Informatique géométrique et graphique, réalité virtuelle et visualisation (GdR IG-RV), Centre de Recherche en Sciences et Technologies de l'Information et de la Communication (CReSTIC); Maison de la Simulation (MaSCA) de l'Université de Reims Champagne-Ardenne, Nov 2014, Reims, France. ⟨hal-03108745⟩ Voir la fiche HAL

Texture analysis of lace images using histogram and local binary patterns under rotation variation

Wael Ben Soltana, Alice Porebski, Nicolas Vandenbroucke, Adeel Ahmad, Denis Hamad. Texture analysis of lace images using histogram and local binary patterns under rotation variation. 1st International Image Processing, Applications and Systems conference (IEEE-IPAS'14), Nov 2014, Sfax, Tunisia. pp.1-6, ⟨10.1109/IPAS.2014.7043325⟩. ⟨hal-03108753⟩ Voir la fiche HAL

A new benchmark image test suite for evaluating color texture classification schemes

Alice Porebski, Nicolas Vandenbroucke, Ludovic Macaire, Denis Hamad. A new benchmark image test suite for evaluating color texture classification schemes. Multimedia Tools and Applications, 2014, 70 (1), pp.543-556. ⟨10.1007/s11042-013-1418-8⟩. ⟨hal-00794488⟩ Voir la fiche HAL

LBP histogram selection for supervised color texture classification

Alice Porebski, Nicolas Vandenbroucke, Denis Hamad. LBP histogram selection for supervised color texture classification. 2013 20th IEEE International Conference on Image Processing (ICIP), Sep 2013, Melbourne, France. pp.3239-3243, ⟨10.1109/ICIP.2013.6738667⟩. ⟨hal-03031120⟩ Voir la fiche HAL

Contribution of a color space selection to a flaw detection vision system

Laurent Busin, Nicolas Vandenbroucke, Ludovic Ludovic.Macaire@univ-Lille1.Fr Macaire. Contribution of a color space selection to a flaw detection vision system. Journal of Electronic Imaging, 2013, 22 (3), pp.033016. ⟨10.1117/1.JEI.22.3.033016⟩. ⟨hal-00852567⟩ Voir la fiche HAL

Color texture analysis using CFA chromatic co-occurrence matrices

Olivier Losson, Alice Porebski, Nicolas Vandenbroucke, Ludovic Macaire. Color texture analysis using CFA chromatic co-occurrence matrices. Computer Vision and Image Understanding, 2013, 117 (7), pp.747-763. ⟨10.1016/j.cviu.2013.03.001⟩. ⟨hal-00799371⟩ Voir la fiche HAL

Supervised texture classification: color space or texture feature selection?

Alice Porebski, Nicolas Vandenbroucke, Ludovic Macaire. Supervised texture classification: color space or texture feature selection?. Pattern Analysis and Applications, 2012, ⟨10.1007/s10044-012-0291-9⟩. ⟨hal-00732490⟩ Voir la fiche HAL

Color Texture Attributes

Nicolas Vandenbroucke, Olivier Alata, Christèle Lecomte, Alice Porebski, Imtnan-Ul-Haque Qazi. Color Texture Attributes. Fernandez-Maloigne, Christine;; Robert-Inacio, frédérique;; Macaire, Ludovic;. Digital Color Imaging, ISTE; J. Wiley, pp.193-240, 2012, 9781848213470. ⟨hal-00767465⟩ Voir la fiche HAL

Contrôle d'aspect par vision linéaire couleur

Laurent Busin, Nicolas Vandenbroucke, Ludovic Macaire. Contrôle d'aspect par vision linéaire couleur. Techniques de l'Ingénieur, 7603, , pp.1--16, 2012, Techniques de l'Ingénieur. ⟨hal-01937683⟩ Voir la fiche HAL

Comparison of feature selection schemes for color texture classification

Alice Porebski, Nicolas Vandenbroucke, Ludovic Macaire. Comparison of feature selection schemes for color texture classification. Proceedings of the International Workshops on Image Processing Theory, Tools and Applications (IEEE-IPTA'10), Sep 2010, Orléans, France. pp.32-37, ⟨10.1109/IPTA.2010.5586760⟩. ⟨hal-00732801⟩ Voir la fiche HAL