Shape retrieval and recognition based on fuzzy histogram
• Fuzzy histogram is introduced for building shape descriptors. • Fuzzy shape context and inner-distance fuzzy shape context are proposed based on a 2-D uniform fuzzy partition. • Locally constrained matching is proposed for computing shape distance. • Our method demonstrates effective performance c...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zheng, Danchen [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
Classical-histogram-based descriptor Inner-distance fuzzy shape context |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: Propolis as lipid bioactive nano-carrier for topical nasal drug delivery - Rassu, Giovanna ELSEVIER, 2015, Orlando, Fla |
|---|---|
| Übergeordnetes Werk: |
volume:24 ; year:2013 ; number:7 ; pages:1009-1019 ; extent:11 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.jvcir.2013.06.015 |
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ELV038961075 |
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| 520 | |a • Fuzzy histogram is introduced for building shape descriptors. • Fuzzy shape context and inner-distance fuzzy shape context are proposed based on a 2-D uniform fuzzy partition. • Locally constrained matching is proposed for computing shape distance. • Our method demonstrates effective performance compared with others algorithms. | ||
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10.1016/j.jvcir.2013.06.015 doi GBVA2013017000004.pica (DE-627)ELV038961075 (ELSEVIER)S1047-3203(13)00128-4 DE-627 ger DE-627 rakwb eng 620 620 DE-600 540 VZ 540 VZ Zheng, Danchen verfasserin aut Shape retrieval and recognition based on fuzzy histogram 2013 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Fuzzy histogram is introduced for building shape descriptors. • Fuzzy shape context and inner-distance fuzzy shape context are proposed based on a 2-D uniform fuzzy partition. • Locally constrained matching is proposed for computing shape distance. • Our method demonstrates effective performance compared with others algorithms. Locally constrained matching Elsevier Classical-histogram-based descriptor Elsevier Shape matching Elsevier Uniform fuzzy partition Elsevier Inner-distance fuzzy shape context Elsevier Fuzzy-histogram-based descriptor Elsevier Fuzzy histogram Elsevier Fuzzy shape context Elsevier Han, Min oth Enthalten in Academic Press Rassu, Giovanna ELSEVIER Propolis as lipid bioactive nano-carrier for topical nasal drug delivery 2015 Orlando, Fla (DE-627)ELV023814993 volume:24 year:2013 number:7 pages:1009-1019 extent:11 https://doi.org/10.1016/j.jvcir.2013.06.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_50 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_136 GBV_ILN_162 GBV_ILN_165 GBV_ILN_176 GBV_ILN_181 GBV_ILN_203 GBV_ILN_227 GBV_ILN_352 GBV_ILN_676 GBV_ILN_791 GBV_ILN_1018 AR 24 2013 7 1009-1019 11 045F 620 |
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10.1016/j.jvcir.2013.06.015 doi GBVA2013017000004.pica (DE-627)ELV038961075 (ELSEVIER)S1047-3203(13)00128-4 DE-627 ger DE-627 rakwb eng 620 620 DE-600 540 VZ 540 VZ Zheng, Danchen verfasserin aut Shape retrieval and recognition based on fuzzy histogram 2013 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Fuzzy histogram is introduced for building shape descriptors. • Fuzzy shape context and inner-distance fuzzy shape context are proposed based on a 2-D uniform fuzzy partition. • Locally constrained matching is proposed for computing shape distance. • Our method demonstrates effective performance compared with others algorithms. Locally constrained matching Elsevier Classical-histogram-based descriptor Elsevier Shape matching Elsevier Uniform fuzzy partition Elsevier Inner-distance fuzzy shape context Elsevier Fuzzy-histogram-based descriptor Elsevier Fuzzy histogram Elsevier Fuzzy shape context Elsevier Han, Min oth Enthalten in Academic Press Rassu, Giovanna ELSEVIER Propolis as lipid bioactive nano-carrier for topical nasal drug delivery 2015 Orlando, Fla (DE-627)ELV023814993 volume:24 year:2013 number:7 pages:1009-1019 extent:11 https://doi.org/10.1016/j.jvcir.2013.06.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_50 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_136 GBV_ILN_162 GBV_ILN_165 GBV_ILN_176 GBV_ILN_181 GBV_ILN_203 GBV_ILN_227 GBV_ILN_352 GBV_ILN_676 GBV_ILN_791 GBV_ILN_1018 AR 24 2013 7 1009-1019 11 045F 620 |
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10.1016/j.jvcir.2013.06.015 doi GBVA2013017000004.pica (DE-627)ELV038961075 (ELSEVIER)S1047-3203(13)00128-4 DE-627 ger DE-627 rakwb eng 620 620 DE-600 540 VZ 540 VZ Zheng, Danchen verfasserin aut Shape retrieval and recognition based on fuzzy histogram 2013 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Fuzzy histogram is introduced for building shape descriptors. • Fuzzy shape context and inner-distance fuzzy shape context are proposed based on a 2-D uniform fuzzy partition. • Locally constrained matching is proposed for computing shape distance. • Our method demonstrates effective performance compared with others algorithms. Locally constrained matching Elsevier Classical-histogram-based descriptor Elsevier Shape matching Elsevier Uniform fuzzy partition Elsevier Inner-distance fuzzy shape context Elsevier Fuzzy-histogram-based descriptor Elsevier Fuzzy histogram Elsevier Fuzzy shape context Elsevier Han, Min oth Enthalten in Academic Press Rassu, Giovanna ELSEVIER Propolis as lipid bioactive nano-carrier for topical nasal drug delivery 2015 Orlando, Fla (DE-627)ELV023814993 volume:24 year:2013 number:7 pages:1009-1019 extent:11 https://doi.org/10.1016/j.jvcir.2013.06.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_50 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_136 GBV_ILN_162 GBV_ILN_165 GBV_ILN_176 GBV_ILN_181 GBV_ILN_203 GBV_ILN_227 GBV_ILN_352 GBV_ILN_676 GBV_ILN_791 GBV_ILN_1018 AR 24 2013 7 1009-1019 11 045F 620 |
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10.1016/j.jvcir.2013.06.015 doi GBVA2013017000004.pica (DE-627)ELV038961075 (ELSEVIER)S1047-3203(13)00128-4 DE-627 ger DE-627 rakwb eng 620 620 DE-600 540 VZ 540 VZ Zheng, Danchen verfasserin aut Shape retrieval and recognition based on fuzzy histogram 2013 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Fuzzy histogram is introduced for building shape descriptors. • Fuzzy shape context and inner-distance fuzzy shape context are proposed based on a 2-D uniform fuzzy partition. • Locally constrained matching is proposed for computing shape distance. • Our method demonstrates effective performance compared with others algorithms. Locally constrained matching Elsevier Classical-histogram-based descriptor Elsevier Shape matching Elsevier Uniform fuzzy partition Elsevier Inner-distance fuzzy shape context Elsevier Fuzzy-histogram-based descriptor Elsevier Fuzzy histogram Elsevier Fuzzy shape context Elsevier Han, Min oth Enthalten in Academic Press Rassu, Giovanna ELSEVIER Propolis as lipid bioactive nano-carrier for topical nasal drug delivery 2015 Orlando, Fla (DE-627)ELV023814993 volume:24 year:2013 number:7 pages:1009-1019 extent:11 https://doi.org/10.1016/j.jvcir.2013.06.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_11 GBV_ILN_21 GBV_ILN_22 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_50 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_136 GBV_ILN_162 GBV_ILN_165 GBV_ILN_176 GBV_ILN_181 GBV_ILN_203 GBV_ILN_227 GBV_ILN_352 GBV_ILN_676 GBV_ILN_791 GBV_ILN_1018 AR 24 2013 7 1009-1019 11 045F 620 |
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Shape retrieval and recognition based on fuzzy histogram |
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Shape retrieval and recognition based on fuzzy histogram |
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Zheng, Danchen |
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Propolis as lipid bioactive nano-carrier for topical nasal drug delivery |
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Propolis as lipid bioactive nano-carrier for topical nasal drug delivery |
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Zheng, Danchen |
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10.1016/j.jvcir.2013.06.015 |
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shape retrieval and recognition based on fuzzy histogram |
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Shape retrieval and recognition based on fuzzy histogram |
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• Fuzzy histogram is introduced for building shape descriptors. • Fuzzy shape context and inner-distance fuzzy shape context are proposed based on a 2-D uniform fuzzy partition. • Locally constrained matching is proposed for computing shape distance. • Our method demonstrates effective performance compared with others algorithms. |
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• Fuzzy histogram is introduced for building shape descriptors. • Fuzzy shape context and inner-distance fuzzy shape context are proposed based on a 2-D uniform fuzzy partition. • Locally constrained matching is proposed for computing shape distance. • Our method demonstrates effective performance compared with others algorithms. |
| abstract_unstemmed |
• Fuzzy histogram is introduced for building shape descriptors. • Fuzzy shape context and inner-distance fuzzy shape context are proposed based on a 2-D uniform fuzzy partition. • Locally constrained matching is proposed for computing shape distance. • Our method demonstrates effective performance compared with others algorithms. |
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Shape retrieval and recognition based on fuzzy histogram |
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