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Automatic cropping of images under projective transformation
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Paper Abstract

The paper considers the problem of images cropping obtained by projective transformation of source images. The problem is highly relevant to analysis of projective distorted images. We propose two cropping algorithms based on estimation of pixel stretching under the transformation. The algorithms use the ratio of pixel neighborhood areas and the ratio of their chord lengths. The methods comparison is conducted by estimation of cropped background relative areas. The experiment uses real dataset containing projective distorted images of the pages of Russian civil passports. The method based on chord lengths ratio shows better results on highly distorted images.

Paper Details

Date Published: 15 March 2019
PDF: 8 pages
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 1104108 (15 March 2019); doi: 10.1117/12.2523483
Show Author Affiliations
J. Shemiakina, Federal Research Ctr. (Russian Federation)
Smart Engines Ltd. (Russian Federation)
A. Zhukovsky, Moscow Institute of Physics and Technology (Russian Federation)
Smart Engines Ltd. (Russian Federation)
Ivan Konovalenko, The Institute for Information Transmission Problems (Russian Federation)
Smart Engines Ltd. (Russian Federation)
D. P. Nikolaev, Institute for Information Transmission Problems (Russian Federation)
Smart Engines Ltd. (Russian Federation)


Published in SPIE Proceedings Vol. 11041:
Eleventh International Conference on Machine Vision (ICMV 2018)
Antanas Verikas; Dmitry P. Nikolaev; Petia Radeva; Jianhong Zhou, Editor(s)

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