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Souleymane Balla-Arabé - IEEE Xplore Author Profile
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Souleymane Balla-Arabé

Also published under: Souleymane Balla-Arabe

Publications
5
Citations
44
Publications by Year
20112016
Co-Authors:
Show All Co-Authors (6)
Image of author Souleymane Balla-Arabé

Souleymane Balla-Arabé

Also published under: Souleymane Balla-Arabe

Affiliation

Laboratory of Electronic
Computing and Imaging Sciences CNRS-UMR 6306
University of Burgundy, Dijon, France

Publication Topics

Biography

Souleymane Balla-Arabé (M’12) received the M.Eng. degree in electronic from Polytechnic Military School, Algiers, Algeria, in 2004, and the Ph.D. degree in information and communication engineering from Xidian University, Xi’an, China, in 2014.,He is currently a Research Fellow with the Laboratory of Electronic, Computing and Imaging Sciences CNRS-UMR 6306, University of Burgundy, Dijon, France. His current research interests include architecture-aware optimization strategies for image segmentation, graphics processing unit-based computations, computational intelligence, machine learning, and computer vision. He has published several technical articles in refereed journals and proceedings, including the IEEE Transactions on Image Processing...
Publications
5
Citations
44
Publications by Year
20112016
Co-Authors:
Show All Co-Authors (6)
Author's Published Works

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Architecture-Driven Level Set Optimization: From Clustering to Subpixel Image Segmentation

Souleymane Balla-Arabé;Xinbo Gao;Dominique Ginhac;Vincent Brost;Fan Yang

IEEE Transactions on Cybernetics
Year: 2016 | Volume: 46, Issue: 12 | Journal Article |
Cited by: Papers (12)
Thanks to their effectiveness, active contour models (ACMs) are of great interest for computer vision scientists. The level set methods (LSMs) refer to the class of geometric active contours. Comparing with the other ACMs, in addition to subpixel accuracy, it has the intrinsic ability to automatically handle topological changes. Nevertheless, the LSMs are computationally expensive. A solution for ...Show More

Architecture-Driven Level Set Optimization: From Clustering to Subpixel Image Segmentation

Souleymane Balla-Arabé;Xinbo Gao;Dominique Ginhac;Vincent Brost;Fan Yang

Year: 2016 | Volume: 46, Issue: 12 | Journal Article |

A predictive function optimization algorithm for multi-spectral skin lesion assessment

Chao Li;Souleymane Balla-Arabe;Vincent Brost;Fan Yang

2015 23rd European Signal Processing Conference (EUSIPCO)
Year: 2015 | Conference Paper |
The newly introduced Kubelka-Munk Genetic Algorithm (KMGA) is a promising technique used in the assessment of skin lesions. Unfortunately, this method is computationally expensive due to its function inverting process. In the work of this paper, we design a Predictive Function Optimization Algorithm in order to improve the efficiency of KMGA by speeding up its convergence rate. Using this approach...Show More

A predictive function optimization algorithm for multi-spectral skin lesion assessment

Chao Li;Souleymane Balla-Arabe;Vincent Brost;Fan Yang

Year: 2015 | Conference Paper |

Fuzzy selecting local region level set algorithm

Souleymane Balla-Arabe;Chao Li;Vincent Brost;Fan Yang

2015 23rd European Signal Processing Conference (EUSIPCO)
Year: 2015 | Conference Paper |
In this work, we introduced a novel localized region based level set model which is simultaneously effective for heterogeneous object or/and background and robust against noise. As such, we propose to minimize an energy functional based on a selective local average, i.e., when computing the local average, instead to use the intensity of all the pixels surrounding a given pixel, we first give a loc...Show More

Fuzzy selecting local region level set algorithm

Souleymane Balla-Arabe;Chao Li;Vincent Brost;Fan Yang

Year: 2015 | Conference Paper |

Multi-Kernel Implicit Curve Evolution for Selected Texture Region Segmentation in VHR Satellite Images

Souleymane Balla-Arabé;Xinbo Gao;Bin Wang;Fan Yang;Vincent Brost

IEEE Transactions on Geoscience and Remote Sensing
Year: 2014 | Volume: 52, Issue: 8 | Journal Article |
Cited by: Papers (16)
Very high resolution (VHR) satellite images provide a mass of detailed information which can be used for urban planning, mapping, security issues, or environmental monitoring. Nevertheless, the processing of this kind of image is timeconsuming, and extracting the needed information from among the huge quantity of data is a real challenge. For some applications such as natural disaster prevention a...Show More

Multi-Kernel Implicit Curve Evolution for Selected Texture Region Segmentation in VHR Satellite Images

Souleymane Balla-Arabé;Xinbo Gao;Bin Wang;Fan Yang;Vincent Brost

Year: 2014 | Volume: 52, Issue: 8 | Journal Article |

Level Set Region Based Image Segmentation Using Lattice Boltzmann Method

Souleymane Balla-Arabe;Bin Wang;Xinbo Gao

2011 Seventh International Conference on Computational Intelligence and Security
Year: 2011 | Conference Paper |
Cited by: Papers (16)
Solving Level Set Equation (LSE) by using the classical methods, mostly based on finite differences approximations, costs a lot of computer time particularly when processing high dimensional large-scale data. In recent years, the Lattice Boltzmann Method (LBM) has attracted much attention as a fast alternative approach for solving LSE. The LBM is explicit and highly parallelizable. In this paper, ...Show More

Level Set Region Based Image Segmentation Using Lattice Boltzmann Method

Souleymane Balla-Arabe;Bin Wang;Xinbo Gao

Year: 2011 | Conference Paper |

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