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A new rotation algorithm for monochromatic images
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Proceedings of the 2005 ACM symposium on Document engineering table of contents
Bristol, United Kingdom
SESSION: Document structure and content analysis 2 table of contents
Pages: 130 - 132  
Year of Publication: 2005
ISBN:1-59593-240-2
Authors
Bruno Tenório Ávila  Universidade Federal de Pernambuco, Brazil
Rafael Dueire Lins  Universidade Federal de Pernambuco, Brazil
Lamberto Oliveira  Universidade Federal de Pernambuco, Brazil
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

The classical rotation algorithm applied to monochromatic images introduces white holes in black areas, making edges uneven and disconnecting neighboring elements. Several algorithms in the literature address only the white hole problem. This paper proposes a new algorithm that solves those three problems, producing better quality images.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Chien, S. and Baek, Y. Hierarchical block matching method for fast rotation of binary images. IEEE Transactions on Image Processing, 2001, 10, 3, 483--489.
 
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Lins, R.D. and Ávila, B.T. A New Algorithm for Skew Detection in Images of Documents. In Proc. Int. Conf. Image Analysis and Recognition, Portugal, Springer, 2004.
 
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Shah, S. and Aggarwal, J.K. Intrinsic parameter calibration procedure for a (high-distorced) fish-eye lens camera with distortion model and accuracy estimation. Pattern Recognition, 1996, 29, 1775--1778.


Collaborative Colleagues:
Bruno Tenório Ávila: colleagues
Rafael Dueire Lins: colleagues
Lamberto Oliveira: colleagues