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.Read Complete Article at ijSciences: V3201412613 AND DOI: http://dx.doi.org/10.18483/ijSci.61
Entropy of order q (depending on the information contained in a sequence of gray levels of length q)...
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Common...
This paper presents a thorough study of different types of entropies. Application and comparison of ...
The maximum entropy principle has a relevant role in image processing, in particular for thresholdin...
The maximum entropy principle is often used for bi-level or multi-level thresholding of images. For ...
The maximum entropy principle is largely used in thresholding and segmentation of images. Among the ...
The maximum entropy principle is often used for bi-level or multi-level thresholding of images. For ...
In image processing, the maximum entropy principle is often used for the elaboration of images, in p...
In image processing, the maximum entropy principle is generally recognized as having a relevant role...
Renyi entropy based image thresholding in [Sahoo, P., Wilkins, C., et al., 1997. Thresholding select...
Entropy has a relevant role in several applications of information theory and in the image processin...
Vol. IInternational audienceThis paper deals with an entropic approach as unsupervised thresholding ...
International audienceThis paper deals with an entropic approach as unsupervised thresholding techni...
This paper deals with an entropic approach as unsupervised thresholding technique for image processi...
The Boltzmann–Gibbs and Tsallis entropies are essential concepts in statistical physics, which have ...
Entropy of order q (depending on the information contained in a sequence of gray levels of length q)...
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Common...
This paper presents a thorough study of different types of entropies. Application and comparison of ...
The maximum entropy principle has a relevant role in image processing, in particular for thresholdin...
The maximum entropy principle is often used for bi-level or multi-level thresholding of images. For ...
The maximum entropy principle is largely used in thresholding and segmentation of images. Among the ...
The maximum entropy principle is often used for bi-level or multi-level thresholding of images. For ...
In image processing, the maximum entropy principle is often used for the elaboration of images, in p...
In image processing, the maximum entropy principle is generally recognized as having a relevant role...
Renyi entropy based image thresholding in [Sahoo, P., Wilkins, C., et al., 1997. Thresholding select...
Entropy has a relevant role in several applications of information theory and in the image processin...
Vol. IInternational audienceThis paper deals with an entropic approach as unsupervised thresholding ...
International audienceThis paper deals with an entropic approach as unsupervised thresholding techni...
This paper deals with an entropic approach as unsupervised thresholding technique for image processi...
The Boltzmann–Gibbs and Tsallis entropies are essential concepts in statistical physics, which have ...
Entropy of order q (depending on the information contained in a sequence of gray levels of length q)...
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Common...
This paper presents a thorough study of different types of entropies. Application and comparison of ...
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