OVERVIEW
DIFFERENTIATION
REPRODUCTION
M-SCALE RELATION
CONVOLUTION
HIGHER ORDER DIFFERENTIATION
PARAMETRIC SHAPE REPRESENTATION

Parametric Shape representation using B_Splines

Robin Lang, Daniel Schmitter
Biomedical Imaging Group, EPFL
Image Processing II
A parametric curve is defined by:
x(t) is the two dimensional function, x(t) and y(t) define the position on either axis. In this case, they are defines as one dimensional spline models:

cx[k] and cy[k] are the x and y coordinates of some points, that define the shape. The shape is approximated with splines of arbitrary degree. Degree 1 directly connects the points, higher degrees lead to