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Nicolas Vandenbroucke

Observed names: N Vandenbroucke, N. Vandenbroucke, Nicolas VANDENBROUCKE, Vandenbroucke Nicolas, Vandenbroucke, N, Vandenbroucke, Nicolas
Observed institutions: Centre National de la Recherche Scientifique, École des Mines de Douai, Université de Lille, Université du littoral côte d'opale, Laboratoire d'Automatique, Génie Informatique et Signal, Université Lille 1, Laboratoire d’Informatique Signal et Image de la Côte d’Opale, Centrale Lille Institut
ORCID: 0000-0002-7766-4898
Observed ORCID: 0000-0002-7766-4898
OpenAlex ID: A5035449645
Color image segmentation by pixel classification in an adapted hybrid color space. Application to soccer image analysis
2003 · Nicolas Vandenbroucke, Ludovic Macaire, et al. · Computer Vision and Image Understanding · 175
Color Spaces and Image Segmentation
2008 · Laurent Busin, Nicolas Vandenbroucke, et al. · Advances in imaging and electron physics · 119
Haralick feature extraction from LBP images for color texture classification
2008 · Alice Porebski, Nicolas Vandenbroucke, et al. · International Conference on Image Processing Theory, Tools and Applications (IPTA) · 110
Color image segmentation by analysis of subset connectedness and color homogeneity properties
2006 · Ludovic Macaire, Nicolas Vandenbroucke, et al. · Computer Vision and Image Understanding · 44
Color pixels classification in an hybrid color space
2002 · N. Vandenbroucke, L. Macaire, et al. · Proceedings - International Conference on Image Processing · 42
A new benchmark image test suite for evaluating colour texture classification schemes
2013 · A. Porebski, N. Vandenbroucke, et al. · Multimedia Tools and Applications · 36
Supervised texture classification: color space or texture feature selection?
2012 · A. Porebski, N. Vandenbroucke, et al. · Pattern Analysis and Applications · 34
A New Remote Hyperspectral Imaging System Embedded on an Unmanned Aquatic Drone for the Detection and Identification of Floating Plastic Litter Using Machine Learning
2023 · Ahed Alboody, Nicolas Vandenbroucke, et al. · Remote Sensing · 33
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LBP histogram selection for supervised color texture classification
2013 · A. Porebski, N. Vandenbroucke, et al. · Proceedings - International Conference on Image Processing · 32
Iterative Feature Selection for Color Texture Classification
2007 · A. Porebski, N. Vandenbroucke, et al. · Proceedings - International Conference on Image Processing · 31
Color texture analysis using CFA chromatic co-occurrence matrices
2013 · O. Losson, A. Porebski, et al. · Computer Vision and Image Understanding · 28
Color space selection for unsupervised color image segmentation by histogram multithresholding
2005 · L. Busin, N. Vandenbroucke, et al. · Proceedings - International Conference on Image Processing · 24
Color image segmentation by supervised pixel classification in a color texture feature space. Application to soccer image segmentation
2002 · N. Vandenbroucke, L. Macaire, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 24
Contribution of a color classification to soccer players tracking with snakes
2002 · N. Vandenbroucke, L. Macaire, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 23
Unsupervised color texture feature extraction and selection for soccer image segmentation
2000 · N. Vandenbroucke, L. Macaire, et al. · Proceedings - International Conference on Image Processing · 23
A lightweight spatial and spectral CNN model for classifying floating marine plastic debris using hyperspectral images
2025 · Adam El Bergui, Alice Porebski, et al. · Marine Pollution Bulletin · 22
ECTRIMS 2022 – Poster
2022 · Haddad, Farah, Boudet, Samuel, et al. · Multiple Sclerosis Journal · 21
Multi-color space local binary pattern-based feature selection for texture classification
2018 · Alice Porebski, Vinh Truong Hoang, et al. · Journal of Electronic Imaging · 20
Color space selection for color image segmentation by spectral clustering
2009 · L. Busin, J. Shi, et al. · IEEE International Conference on Signal and Image Processing Applications (ICSIPA) · 20
Comparison of feature selection schemes for color texture classification
2010 · A. Porebski, N. Vandenbroucke, et al. · International Conference on Image Processing Theory, Tools and Applications (IPTA) · 18
Comparison of color imaging vs. hyperspectral imaging for texture classification
2022 · Alice Porebski, Mohamed Alimoussa, et al. · Pattern Recognition Letters · 17
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Segmentation d'images couleur par classification de pixels dans des espaces d'attributs colorimétriques adaptés : application à l'analyse d'images de football
2000 · Nicolas Vandenbroucke · OpenGrey (Institut de l'Information Scientifique et Technique) · 17
Clustering-based Sequential Feature Selection Approach for High Dimensional Data Classification
2021 · M. Alimoussa, A. Porebski, et al. · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) · 16
Compact Hybrid Multi-Color Space Descriptor Using Clustering-Based Feature Selection for Texture Classification
2022 · Mohamed Alimoussa, Alice Porebski, et al. · Journal of Imaging · 14
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Combination of LBP Bin and Histogram Selections for Color Texture Classification
2020 · Alice Porebski, Vinh Truong Hoang, et al. · Journal of Imaging · 14
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Works count: 75
Citation count: 1,107
H-index: 19
I10-index: 31
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