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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 Image Foresting Transform Segmentation by Seed Competition

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Miranda, Paulo A. V. [1] ; Mansilla, Lucy A. C. [1]
Total Authors: 2
[1] Univ Sao Paulo, Inst Math & Stat, Dept Comp Sci, BR-05508090 Sao Paulo - Brazil
Total Affiliations: 1
Document type: Journal article
Source: IEEE Transactions on Image Processing; v. 23, n. 1, p. 389-398, JAN 2014.
Web of Science Citations: 15

Seed-based methods for region-based image segmentation are known to provide satisfactory results for several applications, being usually easy to extend to multidimensional images. However, while boundary-based methods like live wire can easily incorporate a preferred boundary orientation, region-based methods are usually conceived for undirected graphs, and do not resolve well between boundaries with opposite orientations. This motivated researchers to investigate extensions for some region-based frameworks, seeking to better solve oriented transitions. In this same spirit, we discuss how to incorporate this orientation information in a region-based approach called ``IFT segmentation by seed competition{''} by exploring digraphs. We give direct proof for the optimality of the proposed extensions in terms of energy functions associated with the cuts. To stress these theoretical results, we also present an experimental evaluation that shows the obtained gains in accuracy for some 2D and 3D data sets of medical images. (AU)

FAPESP's process: 11/50761-2 - Models and methods of e-Science for life and agricultural sciences
Grantee:Roberto Marcondes Cesar Junior
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 12/06911-2 - Image Foresting Transform using non-smooth connectivity functions and its applications in the segmentation of medical and natural images with strong heterogeneity
Grantee:Lucy Alsina Choque Mansilla
Support Opportunities: Scholarships in Brazil - Master