An applied point pattern matching problem: comparing 2D patterns of protein spots
Discrete Applied Mathematics - Special issue on the 13th European workshop on computational geometry CG '97
Mobile robot global localization using just a visual landmark
ISPRA'06 Proceedings of the 5th WSEAS International Conference on Signal Processing, Robotics and Automation
A novel approach to image matching using convex layers
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
A simple and effective detection technique of 2D electrophoresis image protein spots
ISCGAV'05 Proceedings of the 5th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Efficient feature correspondence for image registration
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
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Point pattern matching is one of the most powerful methods of spot identification in a gel image. We propose an algorithm to determine the matching of each point pair and its transformation parameters. The main feature of the presented solution is that we use a local point pattern matching approach using Delaunay triangulation of a point sets to find spot pairs. As a consequence, the exact position of spot pairs are determined by Delaunay triangulation and the proposed approach can handle translation, scaling and rotation differences. Our local matching algorithm can be used as a basic step to the global matching and as a landmark setting.