Interactive Image Processing for Machine Vision
معرفی کتاب «Interactive Image Processing for Machine Vision» نوشتهٔ Bruce G. Batchelor PhD, BSc, MIEE, CEng, FRSA, SPIE, Frederick Waltz BS, MS, PhD (auth.)، منتشرشده توسط نشر Springer-Verlag London در سال 1993. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است. «Interactive Image Processing for Machine Vision» در دستهٔ بدون دستهبندی قرار دارد.
Machine vision systems offer great potential in a large number of areas of manufacturing industry and are used principally for Automated Visual Inspection and Robot Vision. This publication presents the state of the art in image processing. It discusses techniques which have been developed for designing machines for use in industrial inspection and robot control, putting the emphasis on software and algorithms. A comprehensive set of image processing subroutines, which together form the basic vocabulary for the versatile image processing language IIPL, is presented. This language has proved to be extremely effective, working as a design tool, in solving numerous practical inspection problems. The merging of this language with Prolog provides an even more powerful facility which retains the benefits of human and machine intelligence. The authors bring together the practical experience and the picture material from a leading industrial research laboratory and the mathematical foundations necessary to understand and apply concepts in image processing. Interactive Image Processing is a self-contained reference book that can also be used in graduate level courses in electrical engineering, computer science and physics. Front Matter....Pages i-xvii Setting the Scene....Pages 1-16 Principles of Digital Image Processing....Pages 17-45 Syntax of IIPL (Interactive Image Processing Language)....Pages 47-70 Practical Considerations....Pages 71-93 Applications Case Studies....Pages 95-139 Integrating IIPL with Prolog....Pages 141-158 In Conclusion....Pages 159-163 Back Matter....Pages 165-385 Contents: Setting the Scene Principles of Digital Image Processing Syntax of IIPL Practical Considerations Applications Case Studies Integrating IIPL with Prolog Basic Functions Sample Macros Images for Applications Case Studies.
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