Publication Type:

Journal Article

Source:

International Journal of Computer Applications, Foundation of Computer Science, Volume 100, Issue 4, p.18-23 (2014)

URL:

https://www.researchgate.net/profile/Hema_Menon/publication/267214091_Feature_Point_Selection_using_Structural_Graph_Matching_for_MLS_based_Image_Registration_International_Journal_of_Computer_Applications_Vol_100_No_4_August_2014/links/54d1b7810cf25ba0f0

Abstract:

Image registration is a method of determining a mapping or a transformation that relates positions in one image, to the corresponding positions in the other images under considerations. The process of registration depends on the homologous control points that are selected from the source and the target images. This paper focuses on the use of the structural information of an image, for selecting control points, as it remains the same even when it undergoes most of the transformation and illumination changes. The points thus obtained are then given to the Moving Least Squares (MLS) based registration technique reported earlier by the authors

Cite this Research Publication

Dr. Hema Menon P., Narayanankutty, K. A., and Indulekha, T. S., “Feature Point Selection using Structural Graph Matching for MLS based Image Registration”, International Journal of Computer Applications, vol. 100, no. 4, pp. 18-23, 2014.

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