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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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
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