Selective Extraction of Entangled Textures via Adaptive PDE Transform
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 equatio...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2012/958142 |
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| _version_ | 1832555976371208192 |
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| author | Yang Wang Guo-Wei Wei Siyang Yang |
| author_facet | Yang Wang Guo-Wei Wei Siyang Yang |
| author_sort | Yang Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-27b36bc59aa14f58940d8b88e6c9a196 |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-27b36bc59aa14f58940d8b88e6c9a1962025-02-03T05:46:41ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962012-01-01201210.1155/2012/958142958142Selective Extraction of Entangled Textures via Adaptive PDE TransformYang Wang0Guo-Wei Wei1Siyang Yang2Department of Mathematics, Michigan State University, East Lansing, MI 48824, USADepartment of Mathematics, Michigan State University, East Lansing, MI 48824, USADepartment of Mathematics, Michigan State University, East Lansing, MI 48824, USATexture 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.http://dx.doi.org/10.1155/2012/958142 |
| spellingShingle | Yang Wang Guo-Wei Wei Siyang Yang Selective Extraction of Entangled Textures via Adaptive PDE Transform International Journal of Biomedical Imaging |
| title | Selective Extraction of Entangled Textures via Adaptive PDE Transform |
| title_full | Selective Extraction of Entangled Textures via Adaptive PDE Transform |
| title_fullStr | Selective Extraction of Entangled Textures via Adaptive PDE Transform |
| title_full_unstemmed | Selective Extraction of Entangled Textures via Adaptive PDE Transform |
| title_short | Selective Extraction of Entangled Textures via Adaptive PDE Transform |
| title_sort | selective extraction of entangled textures via adaptive pde transform |
| url | http://dx.doi.org/10.1155/2012/958142 |
| work_keys_str_mv | AT yangwang selectiveextractionofentangledtexturesviaadaptivepdetransform AT guoweiwei selectiveextractionofentangledtexturesviaadaptivepdetransform AT siyangyang selectiveextractionofentangledtexturesviaadaptivepdetransform |