Authors:
Rabih Al Nachar
1
;
Elie Inaty
2
;
Patrick J. Bonnin
3
and
Yasser Alayli
3
Affiliations:
1
University of Balamand, Lebanon
;
2
Universoty of Balamand, Lebanon
;
3
Laboratoire d'Ingénierie des Systèmes de Versailles-LISV, France
Keyword(s):
Image Edges, Dominant Corners, Affine Transformation, Polygonal Approximation, Primitive.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
;
Image Registration
;
Segmentation and Grouping
Abstract:
This paper presents a new algorithm for image registration working on an image sequence using dominant corners located on the image's edges under the assumption that the deformation between the successive images can be modeled by an affine transformation. To guarantee this assumption, the time interval between acquired images should be small like the time interval in a video sequence. In the edge image, dominant corners are extracted per linked contour and form a polygon that best approximates the current linked contour. The number of these dominant corners per contour is derived automatically given an approximation error. These dominant corners are shown to be very repeatable under affinity transformation. Then, a Primitive is constructed by four dominant corners. The invariant measure that characterizes each primitive is the ratio of areas of two triangles constructed by two triplets selected from these four corners.