A New Simple Automatic Approach for Image Retrieval

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Abstract:

An innovative new automatic approach for image retrieval is proposed to make duplex printing paper fragments retrieval, a simple mathematical model is built and the corresponding algorithm is designed. By extracting image information and utilizing the property that the front and the back sides can affect each other, if the matching process cannot continue, change to the other side to match continually. The results show that the arrangement that alternates between both sides can greatly improve the coherence and reduce the number of manual intervention.

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Periodical:

Advanced Materials Research (Volumes 971-973)

Pages:

1491-1494

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Online since:

June 2014

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[1] Drori, I., Cohen-Or, D., & Yeshurun, H. (2003, July). Fragment-based image completion. In ACM Transactions on Graphics (TOG) (Vol. 22, No. 3). ACM, pp.303-312.

DOI: 10.1145/882262.882267

Google Scholar

[2] Baillard, C., & Zisserman, A. Automatic reconstruction of piecewise planar models from multiple views. In Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on. (Vol. 2). IEEE, 1999, pp.1-2.

DOI: 10.1109/cvpr.1999.784966

Google Scholar

[3] De Smet, P., De Bock, J., & Corluy, E. (2003, August). Computer vision techniques for semi-automatic reconstruction of ripped-up documents. In AeroSense 2003 (pp.189-197). International Society for Optics and Photonics, pp.1-2.

DOI: 10.1117/12.501078

Google Scholar

[4] da Gama Leitão, H. C., & Stolfi, J. (2002). A multiscale method for the reassembly of two-dimensional fragmented objects. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 24(9), pp.1239-1251.

DOI: 10.1109/tpami.2002.1033215

Google Scholar

[5] Brenner, C. Building reconstruction from images and laser scanning. International Journal of Applied Earth Observation and Geoinformation, 6(3), 2005, pp.187-198.

DOI: 10.1016/j.jag.2004.10.006

Google Scholar

[6] Zhu Liangjia, et al. Globally consistent reconstruction of ripped-up documents. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 30(1), 2008, pp.1-13.

DOI: 10.1109/tpami.2007.1163

Google Scholar

[7] De Smet, P. Reconstruction of ripped-up documents using fragment stack analysis procedures. Forensic science international, 176(2), 2008, pp.124-136.

DOI: 10.1016/j.forsciint.2007.07.013

Google Scholar

[8] De Smet, P. Semi-automatic forensic reconstruction of ripped-up documents. In Document Analysis and Recognition, 2009. ICDAR'09. 10th International Conference on. IEEE, 2009, pp.703-707.

DOI: 10.1109/icdar.2009.7

Google Scholar

[9] Gonzalez, R. C., Woods, R. E., & Eddins, S. L. (2004). Digital image processing using MATLAB. Pearson Education India.

Google Scholar

[10] Corke, P. (1996). A robotics toolbox for MATLAB. Robotics & Automation Magazine, IEEE, 3(1), pp.24-32.

DOI: 10.1109/100.486658

Google Scholar

[11] Prandtstetter, M., & Raidl, G. R. Combining forces to reconstruct strip shredded text documents. In Hybrid Metaheuristics. Springer Berlin Heidelberg, 2008, pp.175-189.

DOI: 10.1007/978-3-540-88439-2_13

Google Scholar

[12] Vauhkonen, M., Lionheart, W. R., Heikkinen, L. M., Vauhkonen, P. J., & Kaipio, J. P. (2001). A MATLAB package for the EIDORS project to reconstruct two-dimensional EIT images. Physiological Measurement, 22(1), 107.

DOI: 10.1088/0967-3334/22/1/314

Google Scholar