Alice Porebski

According to our database, Alice Porebski authored at least 24 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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, Perine Doyen, Rachid Amara

Remote. Sens., July, 2023

An Order and Difference Local Binary Pattern for Hyperspectral Texture Classification.

Adam El Bergui, Alice Porebski, Nicolas Vandenbroucke

Proceedings of the Twelfth International Conference on Image Processing Theory, 2023

2022

Comparison of color imaging vs. hyperspectral imaging for texture classification.

Alice Porebski, Mohamed Alimoussa, Nicolas Vandenbroucke

Pattern Recognit. Lett., 2022

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

J. Imaging, 2022

2021

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

Mohamed Alimoussa, Alice Porebski, Nicolas Vandenbroucke, Rachid Oulad Haj Thami, Sanaa El Fkihi

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020

Combination of LBP Bin and Histogram Selections for Color Texture Classification.

Alice Porebski, Vinh Truong Hoang, Nicolas Vandenbroucke, Denis Hamad

J. Imaging, 2020

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

Nicolas Vandenbroucke, Alice Porebski

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

Compact Color Texture Representation by Feature Selection in Multiple Color Spaces.

Mohamed Alimoussa, Nicolas Vandenbroucke, Alice Porebski, Rachid Oulad Haj Thami, Sanaa El Fkihi, Denis Hamad

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

2018

Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification.

Mariam Kalakech, Alice Porebski, Nicolas Vandenbroucke, Denis Hamad

J. Imaging, 2018

Multi-color space local binary pattern-based feature selection for texture classification (Erratum).

Alice Porebski, Vinh Truong Hoang, Nicolas Vandenbroucke, Denis Hamad

J. Electronic Imaging, 2018

2017

LBP Histogram Selection based on Sparse Representation for Color Texture Classification.

Vinh Truong Hoang, Alice Porebski, Nicolas Vandenbroucke, Denis Hamad

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

2016

LBP parameter tuning for texture analysis of lace images.

Vinh Truong Hoang, Alice Porebski, Nicolas Vandenbroucke, Denis Hamad

Proceedings of the International Image Processing, Applications and Systems, 2016

2015

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

Alice Porebski, Nicolas Vandenbroucke, Denis Hamad

Proceedings of the 2015 International Conference on Image Processing Theory, 2015

A new LBP histogram selection score for color texture classification.

Mariam Kalakech, Alice Porebski, Nicolas Vandenbroucke, Denis Hamad

Proceedings of the 2015 International Conference on Image Processing Theory, 2015

2014

A new benchmark image test suite for evaluating colour texture classification schemes.

Alice Porebski, Nicolas Vandenbroucke, Ludovic Macaire, Denis Hamad

Multim. Tools Appl., 2014

A color spatio-temporal segmentation tool applied to sequences of color texture images.

Ibtissam Benmiloud, Tarik Boujiha, Alice Porebski, Rajaa Touahni, Abderrahmane Sbihi

Proceedings of the 4th International Conference on Image Processing Theory, 2014

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

Proceedings of the International Image Processing, 2014

2013

Supervised texture classification: color space or texture feature selection?

Alice Porebski, Nicolas Vandenbroucke, Ludovic Macaire

Pattern Anal. Appl., 2013

Color texture analysis using CFA chromatic co-occurrence matrices.

Olivier Losson, Alice Porebski, Nicolas Vandenbroucke, Ludovic Macaire

Comput. Vis. Image Underst., 2013

LBP histogram selection for supervised color texture classification.

Alice Porebski, Nicolas Vandenbroucke, Denis Hamad

Proceedings of the IEEE International Conference on Image Processing, 2013

2010

Comparison of feature selection schemes for color texture classification.

Alice Porebski, Nicolas Vandenbroucke, Ludovic Macaire

Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

A multi color space approach for texture classification: experiments with Outex, Vistex and Barktex image databases.

Alice Porebski, Nicolas Vandenbroucke, Ludovic Macaire

Proceedings of the 5th European Conference on Colour in Graphics, 2010

2008

Neighborhood and Haralick feature extraction for color texture analysis.

Alice Porebski, Nicolas Vandenbroucke, Ludovic Macaire

Proceedings of the 4th European Conference on Colour in Graphics, 2008

2007

Iterative Feature Selection for Color Texture Classification.

Alice Porebski, Nicolas Vandenbroucke, Ludovic Macaire

Proceedings of the International Conference on Image Processing, 2007