An introduction to splines for use in computer graphics & geometric modeling
An introduction to splines for use in computer graphics & geometric modeling
Generalizing the formula for areas of polygons to moments
American Mathematical Monthly
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A method for working out the moments of a polygon using an integration technique
Pattern Recognition Letters
Boundary Finding with Parametrically Deformable Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using the refinement equation for evaluating integrals of wavelets
SIAM Journal on Numerical Analysis
Box splines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelets and subband coding
Shape characterization with the wavelet transform
Signal Processing
Quantitative Fourier analysis of approximation techniques. II.Wavelets
IEEE Transactions on Signal Processing
Comments on “Sinc interpolation of discrete periodicsignals”
IEEE Transactions on Signal Processing
Wavelet descriptor of planar curves: theory and applications
IEEE Transactions on Image Processing
Affine-invariant B-spline moments for curve matching
IEEE Transactions on Image Processing
Multiscale curvature-based shape representation using B-spline wavelets
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
B-spline snakes: a flexible tool for parametric contour detection
IEEE Transactions on Image Processing
B-spline interpolation for bend intra-oral radiographs
Computers in Biology and Medicine
Gauss-Green cubature and moment computation over arbitrary geometries
Journal of Computational and Applied Mathematics
Hi-index | 0.14 |
We present a method for the exact computation of the moments of a region bounded by a curve represented by a scaling function or wavelet basis. Using Green's Theorem, we show that the computation of the area moments is equivalent to applying a suitable multidimensional filter on the coefficients of the curve and thereafter computing a scalar product. The multidimensional filter coefficients are precomputed exactly as the solution of a two-scale relation. To demonstrate the performance improvement of the new method, we compare it with existing methods such as pixel-based approaches and approximation of the region by a polygon. We also propose an alternate scheme when the scaling function is ${\rm sinc}(x)$.