Applying Machine VisionApplying Machine Vision presents a step-by-step analysis to determine the needs for vision systems in manufacturing processes and the necessary characteristics and features a system must have to achieve desired use. It provides the reader with insight about the reality of utilizing vision systems against their promise. Sufficient background is given to enable the reader to make intelligent decisions about system requirements. The present state of vision technology is reviewed briefly. |
Contents
MACHINE VISION CONCEPTS | 1 |
IMAGE ACQUISITION | 42 |
IMAGE CONVERSION | 86 |
Copyright | |
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Acronym algorithm angle Automation beam binary image blob brightness camera circuit color Computer Vision contrast coordinates cost decision rule detection detector device dimensional distance edge edge detection Electronic Engineering feature extraction field of view Figure flange focal distance focal length frame function gaging geometric gray level gray scale gray shade illumination image analysis image data image enhancement image plane image sensor Image-processing imaging system input inspection installation intensity interface laser lens light source linear array machine vision system magnification mathematical morphology measurement n-tuples object operation optical output P.O. Box pattern recognition PCB trace perform pickup tube pixel position properties quantizing range reflected regions resolution cells Robot Vision scanner scanning scene segmentation shape solid-state spatial filter spatial frequency specific stereo structured light surface sync target techniques texture three-dimensional threshold transform triangulation vendor video signal vidicon wavelength