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The automatic detection of noisy or damaged parts along digital contours is a difficult problem since it is hard to distinguish between information and perturbation without further a priori hypotheses. However, solving this issue has a great impact on numerous applications, including image segmentation, geometric estimators, contour reconstruction, shape matching, or image edition. We propose an original...
A theory for the multiscale analysis of digital shapes would be very interesting for the pattern recognition community, giving a digital equivalent of the continuous scale-space theory. We focus here on providing analytical formulae of the multiresolution of Digital Straight Segments (DSS), which is a fundamental tool for describing digital shape contours.
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