The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008
Figure 18
4. CONCLUSION
In the presented paper, the original approach to image matching
under unknown geometrical and photometrical distortions is
proposed. For robust matching procedure, both contours and
significant regions are taken into consideration. A set of rules
for effective selection of most valuable data from contours and
regions results in stable and distinct set of final features.
Feature matching is based on dynamic programming technique
which enables to find the best correspondence of type many-to-
many. The algorithms proposed have shown effective
performance on aerial imagery of various content even in case
of considerable rotation and scaling. Authors plan to extend the
results of this work for cases with more complicated distortions
types.
REFERENCES
Nademejad, E., Sharifzadeh, S., Hassanpour, H., 2008. Edge
Detection Techniques: Evaluations and Comparisons. Applied
Mathematical Sciences, 2(31), pp. 1507 - 1520.
Pal, N., Pal, S., 1993. A review on image segmentation
techniques, Pattern Recognition, 26, pp. 1277-1294.
Zitova, B., Flusser, J., 2003. Image registration methods: a
survey. Image and Vision Computing, 21, pp. 977-1000.
Davis E.R., 2005, Machine Vision, 3 rd edition, Elsevier,
Amsterdam.
Prett, W., 1978, Digital Image Processing, Vol.2, John Wiley
and Sons, New York.
Schenk, T., 1999, Digital Photogrammetry, Vol.l, TerraScience,
Dayton.
Zavjalov, Y., Kvasov, B., Miroshnichenko, B., 1980, Methods
of Spline-functions, Nauka, Moscow.
Blokhinov, Y., Gribov, D. 2004, A new approach to automatic
junction of overlapping aerial imagery data, Istanbul, Vol.
XXXV, Part B3, 179-183.
Heipke, C., 1996. Automation of interior, relative and absolute
orientation. The International Archives of the Photogrammetry
and Remote Sensing, Vienna, Vol. XXXI, Part B3, pp. 297-311.
Ohta, Y., Kanade, T., 1985, Stereo by Intra- and Inter-Scanline
Search Using Dynamic Programming. IEEE PAMI, Vol.7, No.2,
pp. 139-154.
Remondino, F., Zhang, L., 2006, Surface Reconstruction
Algorithms for Detailed Close-Range Object Modelling. The
International Archives of the Photogrammetry and Remote
Sensing, Bonn, Vol. XXXVI, Part 3, pp. 117-124.
Shafarenko, L., Petrov, M., Kittler, J., 1997, Automatic
Watershed segmentation of Randomly Textured Color Images.
IEEE Trans, on Image Processing, 11, pp. 1530-1544.
Woozug, C., 1996. Relational Matching for Automatic
Orientation. The International Archives of the Photogrammetry
and Remote Sensing, Vienna, Vol. XXXI, Part B3, pp. 111-119.
417