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. Language: English