A New Remote Hyperspectral Imaging System Embedded on an Unmanned Aquatic Drone for the Detection and Identification of Floating Plastic Litter Using Machine Learning von Alboody, Ahed, Vandenbroucke, Nicolas, Porebski, Alice, Sawan, Rosa, Viudes, Florence, Doyen, Perine, Amara, Rachid

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Oligoclonal Band Straightening Based on Optimized Hierarchical Warping for Multiple Sclerosis Diagnosis von Haddad, Farah, Boudet, Samuel, Peyrodie, Laurent, Vandenbroucke, Nicolas, Poupart, Julien, Hautecoeur, Patrick, Chieux, Vincent, Forzy, Gérard

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Compact Hybrid Multi-Color Space Descriptor Using Clustering-Based Feature Selection for Texture Classification von Alimoussa, Mohamed, Porebski, Alice, Vandenbroucke, Nicolas, El Fkihi, Sanaa, Oulad Haj Thami, Rachid

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Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification von Kalakech, Mariam, Porebski, Alice, Vandenbroucke, Nicolas, Hamad, Denis

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Combination of LBP Bin and Histogram Selections for Color Texture Classification von Porebski, Alice, Truong Hoang, Vinh, Vandenbroucke, Nicolas, Hamad, Denis

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Comparison of color imaging vs. hyperspectral imaging for texture classification von Porebski, Alice, Alimoussa, Mohamed, Vandenbroucke, Nicolas

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Multi-color space local binary pattern-based feature selection for texture classification (Erratum) von Porebski, Alice, Hoang, Vinh Truong, Vandenbroucke, Nicolas, Hamad, Denis

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Multi-color space local binary pattern-based feature selection for texture classification von Porebski, Alice, Hoang, Vinh Truong, Vandenbroucke, Nicolas, Hamad, Denis

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Unsupervised color-image segmentation by multicolor space iterative pixel classification von Vandenbroucke, Nicolas, Busin, Laurent, Macaire, Ludovic

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A new benchmark image test suite for evaluating colour texture classification schemes von Porebski, A., Vandenbroucke, N., Macaire, L., Hamad, D.

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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 activ... von Haddad, Farah, Boudet, Samuel, Peyrodie, Laurent, Vandenbroucke, Nicolas, Hautecoeur, Patrick, Forzy, Gérard

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Color texture analysis using CFA chromatic co-occurrence matrices von Losson, O., Porebski, A., Vandenbroucke, N., Macaire, L.

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Supervised texture classification: color space or texture feature selection? von Porebski, A., Vandenbroucke, N., Macaire, L.

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Color image segmentation by pixel classification in an adapted hybrid color space. Application to soccer image analysis von Vandenbroucke, Nicolas, Macaire, Ludovic, Postaire, Jack-Gérard

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Contribution of a color space selection to a flaw detection vision system von Busin, Laurent, Vandenbroucke, Nicolas, Macaire, Ludovic

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Color image segmentation by analysis of subset connectedness and color homogeneity properties von Macaire, Ludovic, Vandenbroucke, Nicolas, Postaire, Jack-Gérard

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Multi Color Channel vs. Multi Spectral Band Representations for Texture Classification von Vandenbroucke, Nicolas, Porebski, Alice

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Iterative Feature Selection for Color Texture Classification von Porebski, A., Vandenbroucke, N., Macaire, L.

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Haralick feature extraction from LBP images for color texture classification von Porebski, A., Vandenbroucke, N., Macaire, L.

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Comparison of feature selection schemes for color texture classification von Porebski, A, Vandenbroucke, N, Macaire, L

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