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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Oriented relative fuzzy connectedness: theory, algorithms, and its applications in hybrid image segmentation methods

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Author(s):
Ccacyahuillca Bejar, Hans Harley [1] ; Miranda, Paulo Av [1]
Total Authors: 2
Affiliation:
[1] Univ Sao Paulo, Dept Comp Sci, BR-05508090 Sao Paulo - Brazil
Total Affiliations: 1
Document type: Journal article
Source: EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING; JUL 23 2015.
Web of Science Citations: 7
Abstract

Anatomical structures and tissues are often hard to be segmented in medical images due to their poorly defined boundaries, i.e., low contrast in relation to other nearby false boundaries. The specification of the boundary polarity can help alleviate a part of this problem. In this work, we discuss how to incorporate this property in the relative fuzzy connectedness (RFC) framework. We include a theoretical proof of the optimality of the new algorithm, named oriented relative fuzzy connectedness (ORFC), in terms of an oriented energy function subject to the seed constraints, and show its usage to devise powerful hybrid image segmentation methods. The methods are evaluated using medical images of MRI and CT of the human brain and thoracic studies. (AU)

FAPESP's process: 11/50761-2 - Models and methods of e-Science for life and agricultural sciences
Grantee:Roberto Marcondes Cesar Junior
Support type: Research Projects - Thematic Grants