A New Class of Detail-Preserving Filters for Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design of Perimeter Estimators for Digitized Planar Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Recursive, O(N) Partitioning of a Digitized Curve into Digital Straight Segments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Vision: Theory, Algorithms, Practicalities
Machine Vision: Theory, Algorithms, Practicalities
Design of shapes for precise image registration
IEEE Transactions on Information Theory
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This paper presents an accurate discrete theory of median shifts. It shows that a quadratic law exists for low curvature values, and that this gives way only gradually to the linear law predicted by the earlier continuum model as the curvature increases. As a result, the variation is almost entirely quadratic for 3 × 3 neighbourhoods, but approaches linearity for 7 × 7 and larger neighbourhoods. In all cases the median shifts exhibit substantial angular variations, though the isotropy can be improved by truncating square neighbourhoods to make them more circular. Tests on circular objects show very good agreement between the new discrete theory and the observed results, with minor exceptions that are explainable by simple geometry. Thus the prime aim of this paper--to achieve a full understanding of the detailed mechanisms of the median filter including the way in which it produces shifts--is achieved.