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Layer Image Components Geometry Optimization

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Image Processing and Communications Challenges 5

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 233))

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Summary

Digital image representation can significantly limit a geometry of the layer components when converting it from its analog form (GERBER). In this case single pixel representation is fixed to the given gray level or state in the case of black and white format. This process can introduce dimensional deviation of the image components on the level up to 100% of the pixel size. Proposed method has a goal to maintain those limit and reduce it to minimal possible to reach level. Result of experimental research are presented.

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Correspondence to Adam Marchewka .

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© 2014 Springer International Publishing Switzerland

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Marchewka, A., Zdrojewski, J. (2014). Layer Image Components Geometry Optimization. In: S. Choras, R. (eds) Image Processing and Communications Challenges 5. Advances in Intelligent Systems and Computing, vol 233. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01622-1_27

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  • DOI: https://doi.org/10.1007/978-3-319-01622-1_27

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-01621-4

  • Online ISBN: 978-3-319-01622-1

  • eBook Packages: EngineeringEngineering (R0)

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