Tsallis Entropy In Bi-level And Multi-level Image Thresholding

Amelia Carolina Sparavigna (1)

1 Polito - Politecnico di Torino = Polytechnic of Turin

The maximum entropy principle has a relevant role in image processing, in particular for thresholding and image segmentation. Different entropic formulations are available to this purpose; one of them is based on the Tsallis non-extensive entropy. Here, we propose a discussion of its use for bi-and multi-level thresholding.

Mots clés: Image Processing; Tsallis Entropy; Thresholding

Domaines: Traitement des images [eess.IV]

Amelia Carolina Sparavigna. Tsallis Entropy In Bi-level And Multi-level Image Thresholding. International Journal of Sciences, 2015, 4 (01), pp.40-49. ⟨10.18483/ijSci.613⟩. ⟨hal-02265661⟩