Machine Vision and Digital Image Processing FundamentalsHow to apply machine vision technology and digital imaging to an industrial process. Coverage includes: lighting systems, economic aspects, dimensional errors due to quantification, RGB and CMYB color systems, filters, bar code systems. Annotation copyright Book News, Inc. Portland, Or. |
Contents
WHAT IS A VISION SYSTEM | 2 |
REFERENCES | 50 |
IMAGE ACQUISITION SIGNAL PARAMETERS | 74 |
Copyright | |
5 other sections not shown
Common terms and phrases
adjacent pixels analog signal Aperture automated Back lighting bar code label bars and spaces binary C-mount characters Codabar coefficients added color contains convolution cost cross-correlation depth of field detector determine digital filter digital imaging dimensions distance edge detection elements encoded enhancement example function gray level values high pass filter histogram horizontal human vision system identify illumination illustrated in Figure image data image matrix image processing inch input image input matrix inspection Laplacian operator lens light source low pass filter machine vision system magnification manufacturing Matching points maximum measurement microseconds noise number of pixels object output image output matrix p₁ parameters pattern matching pixel area pixel location pixel value rectangular region represented sampling scan sensor array shown in Figure solid state camera specific structured light surface techniques template threshold operator tion tube type camera unit Universal Product Code vertical vision technology voltage zero