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Adaptive Noise Reduction for Engineering Drawings Based on Primitives and Noise Assessment

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Graphics Recognition. Ten Years Review and Future Perspectives (GREC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3926))

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Abstract

In this paper, a novel adaptive noise reduction method for engineering drawings is proposed based on the assessment of both primitives and noise. Unlike the current approaches, our method takes into account the special features of engineering drawings and assesses the characteristics of primitives and noise such that adaptive procedures and parameters are applied for noise reduction. For this purpose, we first analyze and categorize various types of noise in engineering drawings. The algorithms for average linewidth assessment, noise distribution assessment and noise level assessment are then proposed. These three assessments are combined to describe the features of the noise of each individual engineering drawing. Finally, median filters and morphological filters, which can adjust their template size and structural element adaptively according to different noise level and type, are used for adaptive noise reduction. Preliminary experimental results show that our approach is effective for noise reduction of engineering drawings.

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhang, J., Zhang, W., Wenyin, L. (2006). Adaptive Noise Reduction for Engineering Drawings Based on Primitives and Noise Assessment. In: Liu, W., Lladós, J. (eds) Graphics Recognition. Ten Years Review and Future Perspectives. GREC 2005. Lecture Notes in Computer Science, vol 3926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11767978_13

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  • DOI: https://doi.org/10.1007/11767978_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34711-8

  • Online ISBN: 978-3-540-34712-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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