• A FCM and SURF based algorithm for segmentation of multispectral face images 

      Ben Said, Ahmed; Foufou, Sebti; Abidi, Mongi ( IEEE , 2013 , Conference Paper)
      In this paper, we propose a novel clustering algorithm based on Fuzzy C-Means (FCM) and Speeded-Up Robust Feature (SURF) for multispectral image segmentation. In the experiments, color images and multispectral images from ...
    • Cluster validity index based on n-sphere 

      Ben Said, Ahmed; Foufou, Sebti; Abidi, Mongi ( IEEE , 2014 , Conference Paper)
      In this paper, we propose a new cluster validity index (CVI) based on geometrical shape. Classic CVIs are based on a combination of separation and compactness measures and may include a measure of overlap between clusters. ...
    • Edge guided total variation for image denoising 

      Ben Said, Ahmed; Hadjidj, Rachid; Foufou, Sebti; Abidi, Mongi ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)
      In this paper, we present a novel denoising algorithm based on the Rodin-Osher-Fatemi (ROF) model. The goal is to ensure maximum noise removal while preserving image details. To achieve this goal, we developed a new edge ...
    • Multilinear sparse decomposition for best spectral bands selection 

      Bouchech, Hamdi Jamel; Foufou, Sebti; Abidi, Mongi ( Springer Verlag , 2014 , Conference Paper)
      Optimal spectral bands selection is a primordial step in multispectral images based systems for face recognition. In this context, we select the best spectral bands using a multilinear sparse decomposition based approach. ...