Archivio Istituzionale della RicercaThe 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.
Tsallis Entropy In Bi-level And Multi-level Image Thresholding / Sparavigna, Amelia Carolina. - In: INTERNATIONAL JOURNAL OF SCIENCES. - ISSN 2305-3925. - STAMPA. - 4:1(2015), pp. 40-49.
Tsallis Entropy In Bi-level And Multi-level Image Thresholding
SPARAVIGNA, Amelia Carolina
2015
Abstract
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.
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/11583/2590164
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