A. Ravishankar Rao
A Taxonomy for Texture Description and Identification (eBook, PDF)
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A. Ravishankar Rao
A Taxonomy for Texture Description and Identification (eBook, PDF)
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This book solves the signal to symbol transformation problem for texture, an important issue in computer vision. The algorithms developed here have been applied to a wide variety of textured images.
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- Größe: 20.44MB
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This book solves the signal to symbol transformation problem for texture, an important issue in computer vision. The algorithms developed here have been applied to a wide variety of textured images.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer US
- Seitenzahl: 198
- Erscheinungstermin: 6. Dezember 2012
- Englisch
- ISBN-13: 9781461397779
- Artikelnr.: 43986933
- Verlag: Springer US
- Seitenzahl: 198
- Erscheinungstermin: 6. Dezember 2012
- Englisch
- ISBN-13: 9781461397779
- Artikelnr.: 43986933
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
1 Introduction.- 1.1 Scope of the book.- 1.2 Importance of texture.- 1.3 Potential applications of this research.- 1.4 Issues in automated process control involving computer vision.- 1.5 A taxonomy for texture.- 1.6 Outline.- 2 Computing oriented texture fields.- 2.1 Introduction.- 2.2 Background.- 2.3 Oriented Texture Fields.- 2.4 Experimental Methods.- 2.5 Experimental Results.- 2.6 Analyzing texture at different scales.- 2.7 Processing of the intrinsic images.- 2.8 Conclusions.- 3 The analysis of oriented textures through phase portraits.- 3.1 Introduction.- 3.2 Background.- 3.3 Geometric theory of differential equations.- 3.4 Experimental Methods.- 3.5 Experimental Results.- 3.6 Experiments with noise addition.- 3.7 A related model from fluid flow analysis.- 3.8 Discussion.- 3.9 Conclusion.- 4 Analyzing strongly ordered textures.- 4.1 Introduction.- 4.2 Extraction of primitives.- 4.3 Extracting structure from primitives.- 4.4 Models for strongly ordered textures.- 4.5 Symbolic descriptions: models from petrography.- 4.6 Frieze groups and wallpaper groups.- 4.7 Implications for computer vision.- 4.8 Summary.- 5 Disordered textures.- 5.1 Statistical measures for disordered textures.- 5.2 Describing disordered textures by means of the fractal dimension.- 5.3 Computing the fractal dimension.- 5.4 Experimental Results.- 5.5 Conclusion.- 6 Compositional textures.- 6.1 Introduction.- 6.2 Primitive textures.- 6.3 A Parametrized symbol set.- 6.4 Three types of composition.- 6.5 Linear combination (transparent overlap).- 6.6 Functional composition.- 6.7 Opaque overlap.- 6.8 Definition of texture.- 6.9 A complete taxonomy for texture.- 6.10 Implementing the taxonomy.- 6.11 Conclusion.- 7 Conclusion.- 7.1 Summary of results.- 7.2 Contributions.- 7.3 Future Work.- B Region Refinement.- C Preparation of the manuscript.- Permissions.
1 Introduction.- 1.1 Scope of the book.- 1.2 Importance of texture.- 1.3 Potential applications of this research.- 1.4 Issues in automated process control involving computer vision.- 1.5 A taxonomy for texture.- 1.6 Outline.- 2 Computing oriented texture fields.- 2.1 Introduction.- 2.2 Background.- 2.3 Oriented Texture Fields.- 2.4 Experimental Methods.- 2.5 Experimental Results.- 2.6 Analyzing texture at different scales.- 2.7 Processing of the intrinsic images.- 2.8 Conclusions.- 3 The analysis of oriented textures through phase portraits.- 3.1 Introduction.- 3.2 Background.- 3.3 Geometric theory of differential equations.- 3.4 Experimental Methods.- 3.5 Experimental Results.- 3.6 Experiments with noise addition.- 3.7 A related model from fluid flow analysis.- 3.8 Discussion.- 3.9 Conclusion.- 4 Analyzing strongly ordered textures.- 4.1 Introduction.- 4.2 Extraction of primitives.- 4.3 Extracting structure from primitives.- 4.4 Models for strongly ordered textures.- 4.5 Symbolic descriptions: models from petrography.- 4.6 Frieze groups and wallpaper groups.- 4.7 Implications for computer vision.- 4.8 Summary.- 5 Disordered textures.- 5.1 Statistical measures for disordered textures.- 5.2 Describing disordered textures by means of the fractal dimension.- 5.3 Computing the fractal dimension.- 5.4 Experimental Results.- 5.5 Conclusion.- 6 Compositional textures.- 6.1 Introduction.- 6.2 Primitive textures.- 6.3 A Parametrized symbol set.- 6.4 Three types of composition.- 6.5 Linear combination (transparent overlap).- 6.6 Functional composition.- 6.7 Opaque overlap.- 6.8 Definition of texture.- 6.9 A complete taxonomy for texture.- 6.10 Implementing the taxonomy.- 6.11 Conclusion.- 7 Conclusion.- 7.1 Summary of results.- 7.2 Contributions.- 7.3 Future Work.- B Region Refinement.- C Preparation of the manuscript.- Permissions.







