In image processing, the maximum entropy principle is generally recognized as having a relevant role in the initial part of image elaboration. The first step of processing in fact, sees the entropy used to determine the segmentation of the image, that is, used to determine objects and background in it. Different entropy formulations are available to this purpose, but the most prominent in recent publications is that of the Tsallis non - extensive entropy. Here, we survey some main methods that are using this entropy and the related literature, in particular that reporting the researches concerning medical image processing.
On the Role of Tsallis Entropy in Image Processing / Sparavigna, Amelia Carolina. - In: INTERNATIONAL SCIENTIFIC RESEARCH JOURNAL. - ISSN 2412-026X. - ELETTRONICO. - 1:2(2015), pp. 16-24.
|Titolo:||On the Role of Tsallis Entropy in Image Processing|
|Data di pubblicazione:||2015|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.18483/IRJSci.79|
|Appare nelle tipologie:||1.1 Articolo in rivista|
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