A multiresolution approach to curve extraction in images is described.
Based on a piecewise linear representation of curves, the scheme comb
ines an efficient method of extracting line segments with a grouping p
rocess to identify curve traces. The line segments correspond to linea
r features defined at appropriate spatial resolutions within a quadtre
e structure and are extracted using a hierarchical decision process ba
sed on frequency domain properties. Implementation is achieved through
the use of the multiresolution Fourier transform, a linear transform
providing spatially localized estimates of the frequency spectrum over
multiple scales. The scheme is simple to implement and computationall
y inexpensive, and results of experiments performed on natural images
demonstrate that its performance compares favorably with that of exist
ing methods. (C) 1994 Academic Press, Inc.