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Proceedings Paper

Computing Curvature From Images
Author(s): Benjamin M. Dawson; George Treese
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Paper Abstract

The planar image of an object can be represented as a "codon" list of maxima, minima and zeros of the image's curvature. This representation is invariant over rotation, translation, scale, and other distortions of the image, making it a useful representation for visual recognition or inspection. Calculating this representation from a digital image is difficult because of the granularity of the image and the possibility of many scales for the object (e.g., a fractal). We present an algorithm for examining a digital image at various scales, computing curvature, and symbolically encoding this information. This algorithm is designed for a digital frame buffer and video arithmetic logic unit.

Paper Details

Date Published: 4 December 1984
PDF: 8 pages
Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); doi: 10.1117/12.944860
Show Author Affiliations
Benjamin M. Dawson, Massachusetts Institute of Technology (United States)
George Treese, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 0504:
Applications of Digital Image Processing VII
Andrew G. Tescher, Editor(s)

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