Computing Curvature From Images

Benjamin M. Dawson; George Treese

doi:10.1117/12.944860

4 December 1984 Computing Curvature From Images

Benjamin M. Dawson, George Treese

Proceedings Volume 0504, Applications of Digital Image Processing VII; (1984) https://doi.org/10.1117/12.944860
Event: 28th Annual Technical Symposium, 1984, San Diego, United States

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.

Citation Download Citation

Benjamin M. Dawson and George Treese "Computing Curvature From Images", Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); https://doi.org/10.1117/12.944860

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