A new rotation algorithm for monochromatic images

Authors:
Bruno Tenório Ávila;Rafael Dueire Lins;Lamberto Oliveira
Affiliations:
Universidade Federal de Pernambuco, Brazil;Universidade Federal de Pernambuco, Brazil;Universidade Federal de Pernambuco, Brazil
Venue:
Proceedings of the 2005 ACM symposium on Document engineering
Year:
2005

Citing 5
Cited 5

Computer graphics with Pascal

Computer graphics with Pascal
Parallel image transformation and its VLSI implementation

Pattern Recognition
A fast approach to the detection and correction of skew documents

Pattern Recognition Letters
A fast black run rotation algorithm for binary images

Pattern Recognition Letters
Hierarchical block matching method for fast rotation of binary images

IEEE Transactions on Image Processing

A fast orientation and skew detection algorithm for monochromatic document images

Proceedings of the 2005 ACM symposium on Document engineering
BigBatch: a toolbox for monochromatic documents

Proceedings of the 2005 ACM symposium on Document engineering
BigBatch: a document processing platform for clusters and grids

Proceedings of the 2008 ACM symposium on Applied computing
A rotation method for binary document images using DDA algorithm

Proceedings of the eighth ACM symposium on Document engineering
BigBatch – an environment for processing monochromatic documents

ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

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.