Multiscale image dipole description by fine-to-coarse aggregation algorithm

Makoto Sato; Supoj Chinveeraphan; Ryo Takamatsu

doi:10.1117/12.251792

30 September 1996 Multiscale image dipole description by fine-to-coarse aggregation algorithm

Makoto Sato, Supoj Chinveeraphan, Ryo Takamatsu

Proceedings Volume 2826, Vision Geometry V; (1996) https://doi.org/10.1117/12.251792
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

This paper deals with a hierarchical description of grayscale images based on image dipoles. An image dipole is a region whose lines of slope emanate from the maximum, and reach the same minimum. Incorporating an image dipole based representation of an image into a scale-space filtering, we proposed here a hierarchical image dipole description of the image. The proposed description consists of image dipole networks of selected scales, and linking of image dipoles across the scales such that it contains all transformations of the image dipole network in the scale-space.

Citation Download Citation

Makoto Sato, Supoj Chinveeraphan, and Ryo Takamatsu "Multiscale image dipole description by fine-to-coarse aggregation algorithm", Proc. SPIE 2826, Vision Geometry V, (30 September 1996); https://doi.org/10.1117/12.251792

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