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Fundamentals of machine vision

By: Myler, Harley RMaterial type: Text

TextPublication details: New Delhi : Prentice-Hall of India, 2003Description: xiii, 133 p. : illISBN: 0819430498; 8120324064Subject(s): Computer visionDDC classification: 006.37

Contents:

Visual system mechanics -- Visual perception -- Color perception -- Motion perception -- Image characterization -- Sampling and quantization -- Spatial frequency processes -- Neighborhood processes -- Point processes -- Image processing and machine vision -- Definition -- Graphic objects and procedures -- Usefulness to machine vision -- Goals -- Finite image spaces -- Applications -- Thresholding -- Segmentation -- Mensuration -- Representation -- Pattern and feature analysis -- Frame-to-frame analysis -- Imaging trackers -- Data management -- Survey -- Knowledge-based vision: VISIONS, ACRONYM, and SCERPO -- Model-based vision: VITREO and PARVO -- Building a machine vision system -- Appendices.

Summary: This text is intended to help readers understand and construct machine vision systems that perform useful tasks, based on the state of the art. It covers fundamentals drawn from image processing and computer graphics to the methods of applied machine vision techniques.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Lending Books	Main Library Stacks	Reference	006.37 MYL (Browse shelf(Opens below))	Available		009762

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Previous	006.33 WIN Programme Design for Knowledge Base Systems	006.33 WOR Students Notes on Intelligent Knowledge Based System	006.37 FOR Computer Vision : A Modern Approach	006.37 MYL Fundamentals of machine vision	006.4 AVE Introduction to electronic imaging	006.4 GOS Pattern recognition and image analysis	006.42 PRA Practical computer vision with SimpleCV	Next

Includes index

Visual system mechanics --
Visual perception --
Color perception --
Motion perception --
Image characterization --
Sampling and quantization --
Spatial frequency processes --
Neighborhood processes --
Point processes --
Image processing and machine vision --
Definition --
Graphic objects and procedures --
Usefulness to machine vision --
Goals --
Finite image spaces --
Applications --
Thresholding --
Segmentation --
Mensuration --
Representation --
Pattern and feature analysis --
Frame-to-frame analysis --
Imaging trackers --
Data management --
Survey --
Knowledge-based vision: VISIONS, ACRONYM, and SCERPO --
Model-based vision: VITREO and PARVO --
Building a machine vision system --
Appendices.

This text is intended to help readers understand and construct machine vision systems that perform useful tasks, based on the state of the art. It covers fundamentals drawn from image processing and computer graphics to the methods of applied machine vision techniques.

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