ArticleInternational journal of biomedical imaging2012
Selective Extraction of Entangled Textures via Adaptive PDE Transform.
Article in International journal of biomedical imaging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Object-oriented Persistent Homology.Journal of computational physics · 2016Article
- Multidimensional persistence in biomolecular data.Journal of computational chemistry · 2015Article
- High-order fractional partial differential equation transform for molecular surface construction.Molecular based mathematical biology · 2013Article
- Geometric modeling of subcellular structures, organelles, and multiprotein complexes.International journal for numerical methods in biomedical engineering · 2012Article
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Authors and funding
3 authors.
Funding
Abstract
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.
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Registered trials
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