Axial representations of shape
Computer Vision, Graphics, and Image Processing
Topology-preserving deformations of two-valued digital pictures
Graphical Models and Image Processing
Boundary extraction of discrete objects
Computer Vision and Image Understanding
The Euler characteristics of discrete objects and discrete quasi-objects
Computer Vision and Image Understanding
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
On the Local Form and Transitions of Symmetry Sets, Medial Axes, and Shocks
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Digital deformable model simulating active contours
DGCI'09 Proceedings of the 15th IAPR international conference on Discrete geometry for computer imagery
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
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In this paper, we define digital curvature flow for planar digital objects. We define the principal normal vectors for points on the digital boundary of a binary planar object. Digital curvature flow is defined as the motion of points on the boundary curve according to principal normal vectors. Therefore, digital curvature flow is a digital version of curvature flow. Furthermore, this transformation could also be considered as discrete curvature flow on isotetic polygons, all edges of which are parallel to the axes of an orthogonal coordinate system.