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Color Image Processing

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Industrial Image Processing

Abstract

This chapter will present an introduction to color image processing. We define color image processing as the evaluation of color information in images for industrial image processing applications. Even though color television has been the standard for decades and the consumer market offers almost exclusively color cameras, most inspection lines in machine vision are still equipped with gray level cameras, and inspection tasks are solved evaluating only the brightness information. This is even more remarkable considering that color is an essential part of the visual information perceived by humans. According to Russ (2007), a human can distinguish merely 20–30 gray levels but about 1,000 colors and shades of colors; this illustrates how important color information is for us.

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Notes

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    Since all sizes except for S, M, L, and so on are labeled with numbers, we will only speak of numbers in the following, which will also include the sizes denoted by letters.

References

  • Gonzalez RC, Woods RE (2008) Digital image processing, 3rd edn. Pearson Education, Upper Saddle River

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  • Russ JC (2007) The image processing handbook, 5th edn. CRC Press, Boca Raton

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Correspondence to Carsten Garnica .

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© 2013 Springer-Verlag Berlin Heidelberg

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Demant, C., Garnica, C., Streicher-Abel, B. (2013). Color Image Processing. In: Industrial Image Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33905-9_11

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  • DOI: https://doi.org/10.1007/978-3-642-33905-9_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33904-2

  • Online ISBN: 978-3-642-33905-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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