Abstract
This paper deals with the design and implementation of a software system based on Differential Evolution for the registration of images, and in its testing by means of a set of bidimensional remotely sensed images on two problems, i.e. mosaicking and changes in time. Registration is carried out by finding the most suitable affine transformation in terms of maximization of the mutual information between the first image and the transformation of the second one, without any need for setting control points. A comparison is effected against a publicly available tool, showing the effectiveness of our method.
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References
Brown, L.G.: A Survey of Image Registration Techniques. ACM Computing Surveys 24(4), 325–376 (1992)
Maintz, J.B.A., Viergever, M.A.: A Survey of Medical Image Registration Methods. Medical Image Analysis 2(1), 1–37 (1998)
Zitova, B., Flusser, J.: Image Registration Methods: A Survey. Image and Vision Computing 21, 977–1000 (2003)
Ton, J., Jain, A.K.: Registering Landsat Images by Point Matching. IEEE Trans. on Geoscience and Remote Sensing 27(5), 642–651 (1989)
Fonseca, L.M.G., Manjunath, B.S.: Registration Techniques for Multisensor Remotely Sensed Imagery. Photogrammetric Engineering & Remote Sensing 62(9), 1049–1056 (1996)
LeMoigne, J.: Towards an Intercomparison of Automated Registration Algorithms for Multiple Source Remote Sensing Data. In: Proc. of the Image Registration Workshop, NASA GSFC, MD, USA, November 20–21, 1997, pp. 307–316 (1997)
Lee, C., Bethel, J.: Georegistration of Airborne Hyperspectral Image Data. IEEE Trans. on Geoscience and Remote Sensing 39(7), 1347–1351 (2001)
Hart, G.W., Levy, S., McLenaghan, R.: Geometry. In: Zwillinger, D. (ed.) CRC Standard Mathematical Tables and Formulae, CRC Press, Boca Raton (1995)
Goldberg, D.: Genetic Algorithms in Optimization, Search and Machine Learning. Addison Wesley, New York (1989)
Eiben, A.E., Smith, J.E.: Introduction to Evolutionary Computing. Springer, Heidelberg (2003)
Jacq, J., Roux, C.: Registration of non-segmented images using a genetic algorithm. In: Ayache, N. (ed.) CVRMed 1995. LNCS, vol. 905, pp. 205–211. Springer, Heidelberg (1995)
Chow, C.K., et al.: Medical image registration and model construction using genetic algorithms. In: Proc. of Int. Workshop on Medical Imaging and Augmented Reality (MIAR ’01), pp. 174–179. IEEE Computer Society Press, Los Alamitos (2001)
Fitzpatrick, J., Grefenstette, J., Gucht, D.: Image Registration by Genetic Search. In: Proc. of the IEEE SoutheastCon Conf., pp. 460–464. IEEE Computer Society Press, Los Alamitos (1984)
Dasgupta, D., McGregor, D.R.: Digital Image Registration using Structured Genetic Algorithms. Proceedings of SPIE The Int. Society for Optical Engineering 1776, 226–234 (1992)
Chalermwat, P., El-Ghazawi, T.A.: Multi-Resolution Image Registration Using Genetics. In: Proc. of the Int. Conf. on Image Processing, vol. 2, pp. 452–456 (1999)
Kim, T., Im, Y.: Automatic Satellite Image Registration by Combination of Stereo Matching and Random Sample Consensus. IEEE Trans. on Geoscience and Remote Sensing 41(5), 1111–1117 (2003)
Storn, R., Price, K.: Differential Evolution - a Simple and Efficient Heuristic for Global Optimization over Continuous Spaces. Journal of Global Optimization 11(4), 341–359 (1997)
Price, K., Storn, R., Lampinen, J.: Differential Evolution: A Practical Approach to Global Optimization. Natural Computing Series. Springer, Heidelberg (2005)
Dai, X., Khorram, S.: A Feature-based Image Registration Algorithm using Improved Chain-code Representation Combined with Invariant Moments. IEEE Trans. on Geoscience and Remote Sensing 37(5), 2351–2362 (1999)
Thomas, P., Vernon, D.: Image Registration by Differential Evolution. In: Proc. of the Irish Machine Vision and Image Processing Conf., pp. 221–225. Magee College, University of Ulster, Ireland (1997)
Fedorov, D., et al.: Automatic Registration and Mosaicking System for Remotely Sensed Imagery. In: Proc. of SPIE 9th International Symposium on Remote Sensing, Crete, Greece (2002)
Maes, F., et al.: Multimodality Image Registration by Maximization of Mutual Information. IEEE Trans. on Medical Imaging 16(2), 187–198 (1997)
Pluim, J.P.W., Maintz, A.J.B., Viergever, M.A.: Mutual–information–based Registration of Medical Images: a Survey. IEEE Trans. on Medical Imaging 22, 986–1004 (2003)
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De Falco, I., Della Cioppa, A., Maisto, D., Tarantino, E. (2007). Differential Evolution for the Registration of Remotely Sensed Images. In: Saad, A., Dahal, K., Sarfraz, M., Roy, R. (eds) Soft Computing in Industrial Applications. Advances in Soft Computing, vol 39. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70706-6_4
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DOI: https://doi.org/10.1007/978-3-540-70706-6_4
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