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Selective Extraction of Entangled Textures via Adaptive PDE Transform
Joint Authors
Yang, Siyang
Wang, Yang
Wei, Guo Wei
Source
International Journal of Biomedical Imaging
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Texture and feature extraction is an important research area with a wide range of applications in science and technology.
Selective extraction of entangled textures is a challenging task due to spatial entanglement, orientation mixing, and high-frequency overlapping.
The partial differential equation (PDE) transform is an efficient method for functional mode decomposition.
The present work introduces adaptive PDE transform algorithm to appropriately threshold the statistical variance of the local variation of functional modes.
The proposed adaptive PDE transform is applied to the selective extraction of entangled textures.
Successful separations of human face, clothes, background, natural landscape, text, forest, camouflaged sniper and neuron skeletons have validated the proposed method.
American Psychological Association (APA)
Wang, Yang& Wei, Guo Wei& Yang, Siyang. 2012. Selective Extraction of Entangled Textures via Adaptive PDE Transform. International Journal of Biomedical Imaging،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-511409
Modern Language Association (MLA)
Wang, Yang…[et al.]. Selective Extraction of Entangled Textures via Adaptive PDE Transform. International Journal of Biomedical Imaging No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-511409
American Medical Association (AMA)
Wang, Yang& Wei, Guo Wei& Yang, Siyang. Selective Extraction of Entangled Textures via Adaptive PDE Transform. International Journal of Biomedical Imaging. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-511409
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511409