Thinning Algorithm of Binary Image Based on Improved Templates

Yan Rui Du; Bin Xie; Li Ping Wang

doi:10.4028/www.scientific.net/AMM.543-547.2547

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Thinning Algorithm of Binary Image Based on...

Thinning Algorithm of Binary Image Based on Improved Templates

Abstract:

Thinning is widely used in image processing and pattern recognition, it reduces redundancy of the original image and for easily extracting features. By a lot of experiments, a new improved thinning algorithm is proposed in this paper. A flow process diagram is given too. In the new algorithm, thinking about some details. For example, thing of P1 cant be deleted, thing of how to wipe off burr. The experiments show that these algorithms achieve anticipate results.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2547-2550

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2547

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Online since:

March 2014

Authors:

Yan Rui Du*, Bin Xie, Li Ping Wang

Keywords:

Algorithm (GA), Pattern Recognition, Thinning

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* - Corresponding Author

References

[1] Yonggong Jia. Digital image processing [M]. Wuhan: wuhan university press, (2003).

Google Scholar

[2] Yuan Yao, Shui Mu. Senior C language programming techniques and examples [M]. Beijing: mechanical industry press, (1995).

Google Scholar

[3] Honglin Zhang. Vc + + digital image pattern recognition technology and engineering practice [M]. People's posts and telecommunications press, (2003).

Google Scholar

[4] Cheng-Lin Liu and Katsumi Marukawa, Pseudo two-dimensional shape normalization methods for handwritten Chinese character recognition", Pattern Recognition, Vol. 38, pp.2242-2255, (2005).

DOI: 10.1016/j.patcog.2005.04.019

Google Scholar

[5] Hiromitsu Yamada, Kazuhiko Yamamoto and Taiichi Saito, A nonlinear normalization method for handprinted kanji character recognition—line density equalization, Pattern Recognition, Vol. 23, pp.1023-1029, (1990).

DOI: 10.1016/0031-3203(90)90110-7

Google Scholar

[6] T.H. Hildebrandt, W. Liu, Optical recognition of handwritten Chinese characters; advances since 1980[J]. Pattern Recogn, 1993, Vol. 26, pp.205-225.

DOI: 10.1016/0031-3203(93)90030-z

Google Scholar