Biased Image Correction Based on Empirical Mode Decomposition - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2007

Biased Image Correction Based on Empirical Mode Decomposition

Résumé

The automated analysis of images is an active field of research in image processing and pattern recognition. In many applications, the first issue is to face illuminations artifacts that can appear due to bad imaging conditions. These arti-facts often have direct consequences on the efficiency of the image analysis algorithms but also on the quantitative measures. This paper presents a fully automated nonuniformity correction based on empirical mode decomposition. The performances are outlined using both synthetic and real data. Index Terms-Image analysis, image enhancement, image restoration, biomedical image processing, biomedical mi-croscopy.
Fichier non déposé

Dates et versions

hal-02901982 , version 1 (15-08-2020)

Identifiants

Citer

Arnaud Ogier, T. Dorval, Auguste Genovesio. Biased Image Correction Based on Empirical Mode Decomposition. 2007 IEEE International Conference on Image Processing, Sep 2007, San Antonio, France. pp.I - 533-I - 536, ⟨10.1109/ICIP.2007.4379009⟩. ⟨hal-02901982⟩
16 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More