Improving the non-extensive medical image segmentation based on Tsallis entropy
| dc.contributor.author | RODRIGUES, Paulo | |
| dc.contributor.author | GIRALDI, G. A. | |
| dc.date.accessioned | 2019-08-17T20:00:28Z | |
| dc.date.available | 2019-08-17T20:00:28Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | Thresholding techniques for image segmentation is one of the most popular approaches in Computational Vision systems. Recently, M. Albuquerque has proposed a thresholding method (Albuquerque et al. in Pattern Recognit Lett 25:1059–1065, 2004) based on the Tsallis entropy, which is a generalization of the traditional Shannon entropy through the introduction of an entropic parameter q. However, the solution may be very dependent on the q value and the development of an automatic approach to compute a suitable value for q remains also an open problem. In this paper, we propose a generalization of the Tsallis theory in order to improve the non-extensive segmentation method. Specifically, we work out over a suitable property of Tsallis theory, named the pseudo-additive property, which states the formalism to compute the whole entropy from two probability distributions given an unique q value. Our idea is to use the original M. Albuquerque’s algorithm to compute an initial threshold and then update the q value using the ratio of the areas observed in the image histogram for the background and foreground. The proposed technique is less sensitive to the q value and overcomes the M. Albuquerque and k-means algorithms, as we will demonstrate for both ultrasound breast cancer images and synthetic data. | en |
| dc.description.firstpage | 369 | |
| dc.description.issuenumber | 4 | |
| dc.description.lastpage | 379 | |
| dc.description.volume | 14 | |
| dc.identifier.citation | RODRIGUES, Paulo; GIRALDI, G. A. Improving the non-extensive medical image segmentation based on Tsallis entropy. Pattern Analysis and Applications, v. 14, n. 4, p. 369-379, 2011. | |
| dc.identifier.doi | 10.1007/s10044-011-0225-y | |
| dc.identifier.issn | 1433-7541 | |
| dc.identifier.uri | https://repositorio.fei.edu.br/handle/FEI/981 | |
| dc.identifier.url | https://doi.org/10.1007/s10044-011-0225-y | |
| dc.relation.ispartof | Pattern Analysis and Applications | |
| dc.rights | Acesso Aberto | |
| dc.subject.otherlanguage | Non-extensive entropy | en |
| dc.subject.otherlanguage | Thresholding segmentation | en |
| dc.subject.otherlanguage | Tsallis entropy | en |
| dc.title | Improving the non-extensive medical image segmentation based on Tsallis entropy | pt_BR |
| dc.type | Artigo | pt_BR |