Title :
Determining local natural scales of curves
Author_Institution :
Joint Res. Centre, Inst. for Remote Sensing Applications, Ispra, Italy
Abstract :
An alternative to representing curves at a single scale or a fixed number of multiple scales is to represent them only at their natural (i.e. most significant) scales. This allows all the important information concerning the different sized structures contained in the curve to be explicitly represented without the overhead of redundant representations of the curve. This paper describes several approaches to determining the local natural scales of curves. That is, various possibly overlapping sections of the curve should be represented at certain scales depending on their shape. The merits and drawbacks of the techniques are described, and the results of implementing one of them are shown
Keywords :
curvature measurement; curve local natural scales determination; most significant scales; redundant representations; Computer vision; Costs; Head; Image segmentation; Quantization; Remote sensing; Robustness; Sampling methods; Shape; Statistics;
Conference_Titel :
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6265-4
DOI :
10.1109/ICPR.1994.576254