High-Resolution Algorithm for Image Segmentation in the Presence of Correlated Noise
Joint Authors
Fossati, Caroline
Bourennane, Salah
Jiang, Haiping
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-03-14
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
Multiple line characterization is a most common issue in image processing.
A specific formalism turns the contour detection issue of image processing into a source localization issue of array processing.
However, the existing methods do not address correlated noise.
As a result, the detection performance is degraded.
In this paper, we propose to improve the subspace-based high-resolution methods by computing the fourth-order slice cumulant matrix of the received signals instead of second-order statistics, and we estimate contour parameters out of images impaired with correlated Gaussian noise.
Simulation results are presented and show that the proposed methods improve line characterization performance compared to second-order statistics.
American Psychological Association (APA)
Jiang, Haiping& Bourennane, Salah& Fossati, Caroline. 2010. High-Resolution Algorithm for Image Segmentation in the Presence of Correlated Noise. Journal of Electrical and Computer Engineering،Vol. 2010, no. 2010, pp.1-6.
https://search.emarefa.net/detail/BIM-486591
Modern Language Association (MLA)
Jiang, Haiping…[et al.]. High-Resolution Algorithm for Image Segmentation in the Presence of Correlated Noise. Journal of Electrical and Computer Engineering No. 2010 (2010), pp.1-6.
https://search.emarefa.net/detail/BIM-486591
American Medical Association (AMA)
Jiang, Haiping& Bourennane, Salah& Fossati, Caroline. High-Resolution Algorithm for Image Segmentation in the Presence of Correlated Noise. Journal of Electrical and Computer Engineering. 2010. Vol. 2010, no. 2010, pp.1-6.
https://search.emarefa.net/detail/BIM-486591
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-486591