| A new rotation algorithm for monochromatic images |
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Document Engineering
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Proceedings of the 2005 ACM symposium on Document engineering
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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
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Downloads (6 Weeks): 12, Downloads (12 Months): 47, Citation Count: 4
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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.
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CITED BY 4
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Giorgia Mattos , Rafael Dueire Lins , Andrei de Araújo Formiga , Fernando Mário Junqueira Martins, BigBatch: a document processing platform for clusters and grids, Proceedings of the 2008 ACM symposium on Applied computing, March 16-20, 2008, Fortaleza, Ceara, Brazil
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