Nicolas Vandenbroucke

Nicolas Vandenbroucke is a researcher affiliated with the Université du Littoral Côte d'Opale. His work focuses on color and hyperspectral imaging, texture classification, and biomedical applications.

Research Interests

• Color image representation and segmentation
• Hyperspectral texture descriptors for pattern recognition
• Dimensionality reduction via feature selection
• Biomedical imaging for multiple sclerosis diagnosis
• Machine vision applications in environmental monitoring

Selected Publications

• Recent work on lightweight CNN models for marine plastic debris classification (2025)
• Hyperspectral imaging systems for aquatic drone-based waste detection (2024)
• Advancements in Local Binary Pattern algorithms for texture analysis (2023)
• Comparative studies of color vs. hyperspectral imaging (2022)
• Clustering-based feature selection for high-dimensional data (2021)

Technical Contributions

• Development of remote hyperspectral imaging systems
• Design of compact descriptors for color texture classification
• Optimized hierarchical warping for medical diagnostics
• LBP histogram selection scores for supervised learning