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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.)

Object delineation by kappa-connected components

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Author(s):
Miranda, Paulo A. V. [1] ; Falcao, Alexandre X. [1] ; Rocha, Anderson [1] ; Bergo, Felipe P. G. [1]
Total Authors: 4
Affiliation:
[1] Univ Estadual Campinas, Inst Comp, BR-13084851 Campinas, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING; 2008.
Web of Science Citations: 7
Abstract

The notion of "strength of connectedness'' between pixels has been successfully used in image segmentation. We present extensions to these works, which can considerably improve the efficiency of object delineation tasks. A set of pixels is said to be a kappa-connected component with respect to a seed pixel, when the strength of connectedness of any pixel in that set with respect to the seed is higher than or equal to a threshold. We discuss two approaches that define objects based on kappa-connected components with respect to a given seed set: with and without competition among seeds. While the previous approaches either assume no competition with a single threshold for all seeds or eliminate the threshold for seed competition, we show that seeds with different thresholds can improve segmentation in both paradigms. We also propose automatic and user-friendly interactive methods to determining the thresholds. The proposed methods are presented in the framework of the image foresting transform, which naturally leads to efficient and correct graph algorithms. The improvements are demonstrated through several segmentation experiments involving medical images. Copyright (C) 2008 Paulo A. V. Miranda et al. (AU)

FAPESP's process: 05/58103-3 - Classifiers and machine learning techniques for image processing and computer vision
Grantee:Anderson de Rezende Rocha
Support type: Scholarships in Brazil - Doctorate
FAPESP's process: 03/13424-1 - Identification and characterization of etiology, mechanisms of damage, neuronal dysfunction, and molecular defects in mesial temporal lobe epilepsy and its relationship with response to treatment
Grantee:Iscia Teresinha Lopes Cendes
Support type: Research Projects - Thematic Grants
FAPESP's process: 05/56578-4 - Multimodal neuroimaging center for studies in epilepsy
Grantee:Fernando Cendes
Support type: Inter-institutional Cooperation in Support of Brain Research (CINAPCE) - Thematic Grants