Abstract
The first machine vision systems used binary images of low resolution in order to handle the large amount of data contained in a television picture. Binary vision performs well when high contrast images are used and light intensities can be classified either zero or one. The shortcomings of binary vision led to the development of gray scale machine vision. Although the role of gray scale machine vision has become increasingly important for industrial applications, it has not been yet widely applied in the manufacturing industry. Reasons include difficulty to obtain repeatability in segmentation procedures, long processing times and still relatively high prices. Color adds a new dimension in machine vision and aids in building more robust and reliable systems. Limitations of possible applications of color machine vision have been associated with high cost and low processing speed of the added information. Recent progress, however, in the microelectronics industry resulted in tackling, partially, these difficulties and a limited, but increasing number, of machine vision systems which utilize color information have been reported [1–12].
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© 1999 Springer Science+Business Media Dordrecht
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Andreadis, I. (1999). A Color Coordinate Normalizer Chip. In: Tzafestas, S.G. (eds) Advances in Intelligent Systems. International Series on Microprocessor-Based and Intelligent Systems Engineering, vol 21. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4840-5_34
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DOI: https://doi.org/10.1007/978-94-011-4840-5_34
Publisher Name: Springer, Dordrecht
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