Deburr Algorithm of Binary Image Based on Outline Trace

Shi Lei

doi:10.4028/www.scientific.net/AMR.811.422

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Deburr Algorithm of Binary Image Based on Outline Trace
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 811Deburr Algorithm of Binary Image Based on Outline...

Deburr Algorithm of Binary Image Based on Outline Trace

Abstract:

The paper introduces deburr algorithm before line trace in the course of vector quantization of binary map image, and it can receive better effect through applying for the algorithm.

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Periodical:

Advanced Materials Research (Volume 811)

Pages:

422-425

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.811.422

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Online since:

September 2013

Authors:

Shi Lei

Keywords:

Binary Image, Deburr, Line Trace, Thinning

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References

[1] Wang Xincheng. Advanced image processing technology. Beijing, Science and technology of China press, (2009).

Google Scholar

[2] Li Youlan, Wan Zhenkai. Visual Basic 6 image processing development and instance [M]. Beijing , Electronic Industry Press, (2010).

Google Scholar

[3] Lv Fengjun. Introduction to digital image processing programming [M]. Beijing, Tsinghua University Press , (2009).

Google Scholar

[4] He Bin. Visual c + + digital image processing [M]. Posts and Telecom Press, (2010).

Google Scholar