An integrated method for automatic reassembly of fragmented images is developed in this paper. The problem of reassembling image fragments arises in many fields, such as archaeology and forensics. Here the spatial chromatic histogram of each fragment, histogram intersection and spatial chromatic distance are calculated. The automation of such a work is important and can lead to faster, more efficient fragment reassembly method.

1. E. Justino, L. S. Oliveira, and C. Freitas, "Reconstructing shredded documents through feature matching," Fores. Sci. Int., vol. 160, pp. 140-147, 2006.
2. Helena Cristina da Gama Leitao, Jorge Stolfi,” A Multiscale Method for the Reassembly of Two dimensional Fragmented Objects”, IEEE Transactoins on Pattern Analysis and Machine Intelligence, v.24 n.9,p.1239-1251,September 2002.
3. F. Amigoni, S. Gazzani, and S. Podico, "A method for reassembling fragments in image reconstruction," in Proc. Int. Conf. Image Processing, Sep. 2003, pp. 581-584.
4. Georgios Papaioannou , Evaggela-Aggeliki arabassi, Theoharis, “Reconstruction of Three-Dimensional Objects through Matching of Their Parts’’, IEEE Transaction on Pattern Analysis,v.24n.1,p.114-124, January 2002.
5. M. Fornasiera and D. Toniolo, "Fast, robust and efficient 2D pattern recognition for re-assembling fragmented images," Pattern Recognit., vol. 38, pp. 2074-2087, 2005.
6. A. R. Willis and D. B. Cooper, “Computational reconstruction of ancient artifacts,” IEEE Signal Process. Mag., pp. 165– 183, Jul. 2008.
7. M. A. Gavrielides, E. Sikudova, and I. Pitas, “Color based descriptors for image fingerprinting,” IEEE Trans. Multimedia, vol. 8, no. 4, pp. 740–748, Aug. 2006.
8. L. Cinque, G. Ciocca, S. Levialdi, A. Pellicano, and R. Schettini, "Color based image retrieval using spatial chromatic histograms," Image Vis. Comput., vol. 19, pp. 786- 979, 2001.
9. H. Alt, L. Scharf, and S. Scholz, "Probabilistic matching of sets of polygonal curves," in Proc. 22nd European Workshop on Computational Geometry (EWCG), Delphi, Greece, Mar. 2006, pp. 107-110.
10. W. Kong and B. B. Kimia, "On solving 2D and 3D puzzles using curve matching," in Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001, vol. 2, pp. 583-590.
11. J. Salvi, C. Matabosch, D. Fofi, and J. Forest, “A review of recent range image registration methods with accuracy evaluation,” Image Vis. Comput., vol. 25, no. 5, pp. 578– 596, 2007.
12. D. Chetverikov,D. Svirko, D. Stepanov, and P. Krsek, “The trimmed iterative closest point algorithm,” in Proc. 16th Int. Conf. Pattern Recognition, 2002, vol. 3, pp. 545–548.
13. T. Zinsser, H. Schnidt, and J. Niermann, “A refined icp algorithm for robust 3D correspondences estimation,” in Proc. Int. Conf. Image Processing (ICIP), 2003, pp. 695–698.
14. Efthymia Tsamoura and Ioannis Pitas,” Automatic Color Base Reassembly of Fragmented Images and Paintings IEEE transactions on image processing”, vol19, no. 3, march 2010

Fragmented image spatial chromatic histogram histogram intersection spatial chromatic distance