1 Machine vision for industrial applications. - 1. 1 Natural and artificial vision. - 1. 2 Artificial vision. - 1. 3 Machine Vision is not Computer Vision. - 1. 4 Four case studies. - 1. 5 Machine Vision is engineering not science. - 1. 6 Structure design and use of machine vision systems. - 1. 7 Other design tools. - 1. 8 Outline of this book. - 2 Basic machine vision techniques. - 2. 1 Representations of images. - 2. 2 Elementary image-processing functions. - 2. 3 Binary images. - 2. 4 Binary mathematical morphology. - 2. 5 Grey-scale morphology. - 2. 6 Global image transforms. - 2. 7 Texture analysis. - 2. 8 Further remarks. - 3 Algorithms approximations and heuristics. - 3. 1 Introduction. - 3. 2 Changing image representation. - 3. 3 Redefining algorithms. - 3. 4 Approximate and heuristic methods. - 3. 5 Additional remarks. - 4 Systems engineering. - 4. 1 Interactive and target vision systems. - 4. 2 Interactive vision systems general principles. - 4. 3 Prolog image processing (PIP). - 4. 4 Advanced aspects of PIP. - 4. 5 Windows image processing (WIP). - 4. 6 Web-based image processing (CIP). - 4. 7 Target (factory floor) vision systems. - 4. 8 Concluding remarks. - 5 Algorithms and architectures for fast execution. - 5. 1 Classification of operations. - 5. 2 Implementation of monadic pixel-by-pixel operations. - 5. 3 Implementation of dyadic pixel-by-pixel operations. - 5. 4 Implementation of monadic neighborhood operations. - 5. 5 Implementation of monadic global operations. - 5. 6 SKIPSM a powerful implementation paradigm. - 5. 7 Image-processing architectures. - 5. 8 Systems with random access to image memory. - 5. 10 Systems for continuous web-based processing. - 6 Adding intelligence. - 6. 1 Preliminary remarks. - 6. 2 Implementing image-processing operators. - 6. 3 Very Simple Prologs+ (VSP). - 6. 4 PIP. - 6. 5 WIP. - 6. 6 Concludingremarks. - 7 Vision systems on the Internet. - 7. 1 Stand-alone and networked systems. - 7. 2 Java. - 7. 4 CIP. - 7. 5 Remarks. - 8 Visual programming for machine vision. - 8. 1 Design outline. - 8. 2 Data types. - 8. 3 Nonlinear feedback blocks. - 8. 4 Visual programming environment. - 8. 5 Image viewer and tools. - 8. 6 Sample problems. - 8. 7 Summary. - 9 Application case studies. - 9. 1 Preliminary remarks. - 9. 2 Taking a broad view. - 9. 3 Cracks in ferrous components. - 9. 4 Aerosol spray cone. - 9. 5 Glass vial. - 9. 6 Coin. - 9. 7 Metal grid. - 9. 8 Toroidal metal component. - 9. 9 Mains power plug (X-ray). - 9. 10 Conclusions. - 10 Final remarks. - 10. 1 Interactive prototyping systems. - 10. 2 Target vision systems. - 10. 3 Design tools. - 10. 4 Networked systems. - 10. 5 Systems integration. - 10. 6 Algorithms and heuristics. - 10. 7 Concluding comments. - Appendix A Programmable color filter. - Representation of color. - Color triangle. - Mapping RGB to HSI. - Programmable color filter (PCF). - Software. - Appendix B A brief introduction to Prolog. - Prolog is different. - Declarative programming. - Facts. - Simple queries. - Rules. - Queries involving rules. - Backtracking and instantiation. - Recursion. - Lists. - Other features. - Further reading. - Appendix C PIP commands and their implementation. - References. - Further reading. Language: English