Machine Vision Glossary
AIA- The Automated Imaging Association is a non-profit trade association dedicated to promoting the use of image capture and analysis technology
Algorithm- the sequence of steps that define how a particular problem is solved
Application Specific Machine Vision (ASMV)- a vision based program that is created to solve a single or few image based problems
Charged Coupled Device (CCD)- a light-sensitive chip or sensor used in scanners and digital cameras to converts light into digital signals
Correlation- a process that identifies the similarity between images by comparing pixels values
Depth-of-Field- the focus range of a camera or imaging device
Digital Imaging- the process of converting an image from analog signals to digital signals
Edge Enhancement- the process of identifying edges or high frequencies within digital images
Frame Grabber- the device used to convert analog signals to digital signals used in digital imaging
General-Purpose Vision System (GPMV)- a vision system that can be configured for use in numerous applications
Gray Scale- the result of removing color from an image and shading the image based on brightness
Histogram- a chart that represents the number of pixels within an image that have the same intensity values. The Y axis is the number of pixels per value which is charted on the X axis
HLS- Acronym for hue, lightness and saturation of a pixel
Image Acquisition- how an image is captured from the real word into the digital image analysis program
Image Analysis- the process of extracting features or attributes from an image based on properties within the image
Image Filter- a mathematical operation performed on a digital image at every pixel value to transform the image in some desired way
Image Processing- conversion of an image into another image in order to highlight or identify certain properties of the image.
Machine Vision- The use of image processing and image analysis in order to automatically control specific actions.
Machine Vision System- A system capable of acting on visual stimuli by digitizing, processing and analyzing images.
Morphology- the study of shapes and those methods used to transform or describe shapes of objects
Noisy Image- an image with many pixels of different intensities. An un-tuned TV picture produces a very noisy or random image. (Note that sound has nothing to do with a 'noisy' image.)
OCR- Optical Character Recognition
OCV- Optical Character Verification
Pattern Recognition- Identification and classification of images based on textures, shapes, colors, etc found within images
Pixel- The individual values within a digitized image that describe the image color and intensity (typically a red, blue, green value) at a specific point within the image
RGB- Acronym for red, green and blue colors that together represent a pixel's color
RoboFile- The XML formatted text file that RoboRealm saves using a .robo extension. This file contains the configuration
information for the processing pipeline that is executed in RoboRealm. The format is editable and readible within a text file. To
create such a file press the SAVE button in the main RoboRealm interface and specific a filename using .robo as the extension. Note
that this is the same dialog used to also save images.