Automatic and efficient methods applied to the binarization of a subway map

Philippe Durand; Dariush Ghorbanzadeh; Luan Jaupi

doi:10.1117/12.2228439

9 December 2015 Automatic and efficient methods applied to the binarization of a subway map

Philippe Durand, Dariush Ghorbanzadeh, Luan Jaupi

Proceedings Volume 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015); 98170H (2015) https://doi.org/10.1117/12.2228439
Event: Seventh International Conference on Graphic and Image Processing, 2015, Singapore, Singapore

Abstract

The purpose of this paper is the study of efficient methods for image binarization. The objective of the work is the metro maps binarization. the goal is to binarize, avoiding noise to disturb the reading of subway stations. Different methods have been tested. By this way, a method given by Otsu gives particularly interesting results. The difficulty of the binarization is the choice of this threshold in order to reconstruct. Image sticky as possible to reality. Vectorization is a step subsequent to that of the binarization. It is to retrieve the coordinates points containing information and to store them in the two matrices X and Y. Subsequently, these matrices can be exported to a file format 'CSV' (Comma Separated Value) enabling us to deal with them in a variety of software including Excel. The algorithm uses quite a time calculation in Matlab because it is composed of two "for" loops nested. But the "for" loops are poorly supported by Matlab, especially in each other. This therefore penalizes the computation time, but seems the only method to do this.

Citation Download Citation

Philippe Durand, Dariush Ghorbanzadeh, and Luan Jaupi "Automatic and efficient methods applied to the binarization of a subway map", Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 98170H (9 December 2015); https://doi.org/10.1117/12.2228439

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KEYWORDS

Image processing

Matrices

MATLAB

Image compression

Image segmentation

Quantization

Visualization

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