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Open eVision
General Features
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EasyImage
EasyColor
EasyObject
EasyMatch
EasyFind
EasyGauge
EasyOCV
EasyOCR
EasyBarCode
EasyMatrixCode
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ActiveGigE for Open eVision
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Evaluation Programs
Data Sheet
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Color Image Analysis Library
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Main Features
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Typical Applications
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Fast conversion to 11 color spaces
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Food inspection
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Color segmentation
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Printing
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Color verification
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PCB inspection
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EasyColor includes a set of optimized color systems transformation functions and color analysis functions. The color systems supported
are RGB, XYZ, L*a*b*, L*u*v*, YUV, YIQ, ISH, LSH, VSH, LCH and YSH. EasyColor provides efficient means to convert images
between these systems and to transform color images into gray level images and vice versa.
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Operation Principles
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Although the RGB (red, green, blue) representation of color images is well suited for color reproduction (it is
used by monitors and cameras), many other representations have been designed for various purposes. More
particularly, the “Intensity/Saturation/Hue” color systems are well suited for machine vision applications. Easy-
Color supports several of them. They separate the achromatic (black and white) component (Intensity) from
the chromatic components (Saturation and Hue) which are used to describe colors. This allows a more intuitive
interpretation of colors and is very useful to segment colors while eliminating lighting effects. It is thus required,
when doing color image processing, to convert the RGB images coming from the camera to another color space,
such as LSH, ISH or YSH. EasyColor provides a set of optimized color space conversion functions.
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Also included in EasyColor are traditional color image processing functions (such as Bayer pattern conversion
and color balance correction), as well as powerful color analysis functions, which allow the user to detect and
classify color objects and defects. For example, color image segmentation allows you to decompose a color image
in different regions by assigning a class to every pixel. Color image segmentation can be used in conjunction
with EasyObject to perform blob analysis on the segmented regions. It is also possible to filter pixels by selecting
ranges of values for each component, for example, selecting “olive green” pixels based on their hue only, with a
loose discrimination on the intensity and saturation to eliminate surface and lighting effects.
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Functions
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Color transformations
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- Lookup Tables (LUTs)
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- LUT for specific usage
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Colorimetric systems conversion
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LUT for gain / offset (color)
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LUT for color calibration
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LUT for color balance:
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gamma pre-compensation, white balance
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Color image components
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- Merging and extracting image components
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- Pseudo-coloring
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Color classification for segmentation
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Special color formats
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- YUV 422 decompression
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- Bayer patterns to RGB
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