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Machine Vision:Pract Tech Adva

Machine Vision:Pract Tech Adva

          
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About the Book

When the faculty of vision is realized by means of engineering, machines are able to perceive changes in their environment and can modify their behaviour to adapt to these changes, thus making them highly flexible, intelligent, and more capable of performing useful tasks, particularly in industry. This tract focuses on the most up-to-date, practical machine-vision technologies developed in Japan, and includes an introduction to the subject, some useful algorithms, and some widely applicable processing circuits used in industrial machine-vision systems. It introduces methods and machines that recognize three types of basic features of objects and summarizes image processors that have been developed and are now being used in industry. The material is presented from an applications-oriented standpoint so that researchers, engineers and students can easily learn practical image-processing technologies that are useful in the construction of machine-vision systems.

Table of Contents:
Part 1 Introduction to machine vision: vision and robotics - history in brief, intelligent machines, image processing; scene analysis - passive method, active method; industrial vision - object features, reduction into a two-dimensional problem, requirements for vision, history of industrial vision. Part 2 Basic algorithms for machine vision: interimage processing - digitized image, algebraic operations, logical operations; filtering - linear filtering, nonlinear filtering, recursive filtering; morphological operation; extraction of patterns - small pattern extraction, specific pattern extraction; extraction of features - frequency distribution, projection distribution, feature parameters. Part 3 Recognition of shapes and positions: pattern-matching method - distance between patterns, correlation of patterns, binary pattern matching, automatic selection of standard patterns; pixel-counting method - shape classification, position detection, recognition of moving objects; feature-parameter method - utilizing general parameters, utilizing special parameters; slit-light method - depth-difference detection, profile detection. Recognition of defects: automation of visual inspection; utilization of pattern features - standard-pattern generation, feature-pattern series, use of frequency distribution, use of projection distribution; pattern-comparison method; design-pattern referring method - effect of design pattern, list matching of connection data, pattern-directed processing; hybrid method for repetitive patterns. Recognition of surface information: mark reading; character reading - inspection of printed characters, industrial character recognition; recognition of texture; recognition of colours - colour-filtering method, tv signal-processing method. Part 6 Image processors and future machine vision: configurations of image processors - fully parallel image processor, local-parallel image processor, multiprocessor image processor; state of image processing - required performance, scale of image processing; future of machine vision - image-processing expert system, knowledge-based processing, future development.


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Product Details
  • ISBN-13: 9782881243530
  • Publisher: Gordon and Breach
  • Publisher Imprint: Gordon & Breach Science Publishers Ltd
  • Language: English
  • Weight: 454 gr
  • ISBN-10: 2881243533
  • Publisher Date: 01 Feb 1989
  • Binding: Hardback
  • Returnable: N


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