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Proceedings Paper

Color line scan technology: new tool for industrial process and quality control applications
Author(s): Guy F. Lemstrom; Pekka H. T. Paernaenen
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Paper Abstract

Industrial vision systems are often hindered by system, irregularities such as vibration, product shift and non- constant speed (either conveyor or product) which will set criteria for selecting color detector for machine vision systems. Color line scan camera offers a new tool for industrial process and quality control applications having the benefits of traditional monochrome technology for accurate dimension, shape and texture detection with addition of new intensity independent dimension-color. In some cases color is the only reliable feature. The color separation is the most essential part of a good color cameras. If the three different colors can not be separated successfully from each other, the system can only detect clear and obvious color differences. Separating the image into different spectral bandwidth s increases the intensities dynamic range for each channel compared to a monochrome image. The CCD cameras has to be able to measure the colors accurately even if the light levels are of a small magnitude since correcting erroneous data caused by poor dynamic response from the camera is almost impossible. Often more digitized levels per pixel are needed to deal with in a color image compared with a monochrome image. Good dynamic range and linear response is necessary for color machine vision. The importance of these features becomes even more important when the image is converted to another color space. Some information will always be lost when converting integer data to another form. If the numbers used for conversion are too small, the calculation can have an error that is huge enough to make the system fail. Color machine vision has shown a dynamic uptrend in use within the past few years as the introduction of new cameras and scanner technologies itself underscores. In the future, the movement from monochrome imaging to color will hasten, as machine vision system users demand more knowledge about their product stream.

Paper Details

Date Published: 21 August 1996
PDF: 10 pages
Proc. SPIE 2784, Vision Systems: Sensors, Sensor Systems, and Components, (21 August 1996); doi: 10.1117/12.248523
Show Author Affiliations
Guy F. Lemstrom, Temet Vision Industry Oy (Finland)
Pekka H. T. Paernaenen, Temet Vision Industry Oy (Finland)

Published in SPIE Proceedings Vol. 2784:
Vision Systems: Sensors, Sensor Systems, and Components
Otmar Loffeld, Editor(s)

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