Automatic cropping of images under projective transformation

J. Shemiakina; A. Zhukovsky; Ivan Konovalenko; D. P. Nikolaev

doi:10.1117/12.2523483

15 March 2019 Automatic cropping of images under projective transformation

J. Shemiakina, A. Zhukovsky, Ivan Konovalenko, D. P. Nikolaev

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 1104108 (2019) https://doi.org/10.1117/12.2523483
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

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.

Citation Download Citation

J. Shemiakina, A. Zhukovsky, Ivan Konovalenko, and D. P. Nikolaev "Automatic cropping of images under projective transformation", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 1104108 (15 March 2019); https://doi.org/10.1117/12.2523483

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