Target classification using curvature scale spaces

Hedley Morris; Monica M. De Pass

doi:10.1117/12.665885

4 May 2006 Target classification using curvature scale spaces

Hedley Morris, Monica M. De Pass

Proceedings Volume 6239, Targets and Backgrounds XII: Characterization and Representation; 623904 (2006) https://doi.org/10.1117/12.665885
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

In this paper, we present a study of target recognition based on curvature measures. The goal of this work is to examine identification algorithms based on contour and surface curvature estimations. F. Costa and R. M. Cesar have developed fractal and curvature analysis methods for the contours in 2D images. In particular, they have introduced the notion of the curvegram of a contour. This provides a visual representation of how the curvature changes with scale. We propose an extension to target recognition based on curvature descriptors but involving the whole target set not just the boundary.

Citation Download Citation

Hedley Morris and Monica M. De Pass "Target classification using curvature scale spaces", Proc. SPIE 6239, Targets and Backgrounds XII: Characterization and Representation, 623904 (4 May 2006); https://doi.org/10.1117/12.665885

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