A new method for automated control point selection in image registration

Liang-Hwei Lee; Liang-Chien Chen

doi:10.1117/12.2294324

1 August 1990 A new method for automated control point selection in image registration

Liang-Hwei Lee, Liang-Chien Chen

Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 139529 (1990) https://doi.org/10.1117/12.2294324
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland

Abstract

The selection for control points is a necessity in registration for remotely sensed images. This paper is to propose a new progressive method to automatically generate control point pairs with uniform distribution. The Voronoi-Delaunay dual graph is used to predict the optimal locations first. Interest operators are then used to extract point features for potential control points. Finally, a hierarchical coarse-to-fine matching procedure is applied. The area-based matching is also integrated for accomplishing the image correspondence to sub- pixel level. A consistency check by Robust Estimation is also included. A pair of digitized aerial photos are used in the case study. Results indicate that the proposed has many attractive merits.

Citation Download Citation

Liang-Hwei Lee and Liang-Chien Chen "A new method for automated control point selection in image registration", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 139529 (1 August 1990); https://doi.org/10.1117/12.2294324

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